Free Essay

Effect of Gold Prices

In:

Submitted By MonkeymanX
Words 5268
Pages 22
DISSERTATION
Title
“Affect of Gold Prices on the Stock Market of Pakistan"

Abstract The research is on the impact of gold prices on the stock market of Pakistan. With an increase in gold prices investors find it more profitable to invest their money into gold as the value of gold per gram is high due to its increased demand. When investors invest into gold naturally they don’t have money to invest in other places like stocks thus stock market is affected by gold prices. The attractive gold price takes the attention of the investor and as a result less investment in stock is made and stock market suffers.
This paper aims to find this relationship between stock market and gold prices. In this research Karachi stock exchange has been considered as the stock market to see the relationship with gold prices. ADF unit root test and granger causality test have been used in this research.
The results showed that data series for both gold and KSE 100 index has integration at first order. The results also showed that there is a relationship between stock market and gold prices and the relationship is bidirectional. Gold prices affect the Karachi stock exchange and Karachi stock exchange also affects gold prices.
Keywords: Gold prices, stock market, gold price and stock market, gold and stock market relationship.

Table of Contents Sr.# | DESCRIPTION | PAGE NO. | 1 | AcknowledgEment……………………………………... | I | 2 | ABSTRACT………………………………………………….. | II | 3 | CHAPTER 1. INTRODUCTION…………………………. 1.1. Overview………………………………………………. 1.2. Research Objective………………………………. 1.3. Problem Statement……………………………… 1.4. Hypothesis ...………………………………….. | 44555 | 4 | CHAPTER 2. LITERATURE REVIEW | 5 | 5 | CHAPTER 3. RESEARCH METHODOLOGY………………………..3.1. Data………………………………...3.2. Sample…………………………………………3.3. Variable……………………………………………….3.4. Statistical model…………………………….. | 7888 | 6 | CHAPTER 4. RESULTS and DISCUSSION……..………... | 8 | 7 | CHAPTER 5 CONCLUSION | 18 | 8 | Bibliography……………………………………... | 19 |

1.Introduction
1.1 Overview Gold is the best option for people in times of national crisis, war, negative real interests and invasions and people like to invest in this solid asset. According to Opdyke (2010) in the times of recession the international investors found gold as a haven to secure their investments. USA, India, and China are the top countries consuming the major portion of the gold produced globally. In Pakistan due to tight economic situation, economic instability, lowering down of economic indicators, and low return in stock market, the Pakistani investors are investing in gold bullion rather than the stock market because of which the demand for gold increased. In 2002 KSE (Karachi stock exchange) was declared the best stock market of the world and by Bloomberg Business Week 2002. In 2007 it was termed the most emerging stock market. But in 2010 especially, the interest of investors diverted from the stock market to gold as the stock market didn’t promise any proper returns and gold seemed to be a more profitable and secure investment.
The paper examines the impact of gold prices on Karachi Stock Exchange (as it is the biggest stock market of Pakistan). As more investors are buying gold it is becoming a trend and attracting more and more investors. In 2010 the gold price exceeded the forty thousand mark on per Tola as of which more investors got interested in gold as it seemed a more attractive investment and shifted from stock market to gold. Thus it is important to see the impact of gold price on the stock market for which Unit Root Test of Augmented Dickey Fuller, Phillip Perron, Johansen’s Correlation Integration test and Granger Causality test have been used in this paper.
1.2 Research Objectives
This research is aimed to determine whether the prices of Gold have any impact on the stock market or not.
1.3 Research Question
What is the impact of change in gold prices on the Karachi Stock Market in Pakistan?
1.4 Hypothesis
H1: Gold prices have an impact on the stock market of Pakistan.
H0: Gold prices have no impact on the Pakistan stock market.

2. Literature Review Levin and Wright (2006) stated that any stock which is kept with its owner for a certain amount of time, gives them on return on its price plus the dividend, as for the gold it is just a hoarding of the value. This concept became a popular believe in the 19th century when there was little commotion in the economy of US and there was political stability. However, in light of recent global recession Pritchard (2010) said that investors have forgone these believe and are more interested in investing into gold. Investments in stock markets are declining every day and as a result stock markets are beginning to crash. Sudden rise in demand of gold has greatly increased the price of gold. Before the global recession, the price of gold in 2005 was US$ 415 per ounce. After the global the recession struck the US economy, the price of gold hit $1000 in 2008. Currently, the price of gold reached to $1421 in November of 2010.
Levin and wright (2006) created a model which showed the causes of price of based on simple economics in the short as well as long run. Based on this model it can be said that supply of gold determines its price. Political instability, financial turmoil and changes in exchange rates and real interest rates are the short-term causes which bring about the variations in the price of gold. This study showed that there is substantially significant relationship between the price of gold and the price level of the US economy. This study also showed that inflation in US economy and price of gold have a positive relationship but a negative relationship between the price of gold and exchange rate of US dollars.
It can be said that stock market is affected by change in the price of gold and many other economic variables. Ratanapakorn and Sharma (2007) conducted a research using the data of the first quarter 9f 1975 till the last quarter of 1999 to study the long as well as short term relationship between the US stock price index. Finding showed a negative correlation between the interest rate and stock price index of the economy. On the other hand, Kolluri (1981) study showed that a relationship between gold price and inflation rate does exist; this can easily be used in favor when doing hedging. But Mahdavi and Zhou (1997), Blose and Shieh (1995), Chan (1998) conclusion were stating the different story altogether. Their findings stated that gold can no longer be termed as inflation defensive asset.
Graham (2001) conducted a research to find out the relation between the price of gold and the stock prices of the economy in long and short run. His study concluded that in the long run there is no relationship between the two variables but in the short stock prices are slightly affected by the price of the gold.
Wang and Haung (2010) conducted a research, using the data from countries like Japan, China, Taiwan, Germany and America. Variables used for the study included oil prices, exchange rates against dollar, gold prices and stock price index of each country. Their findings showed that co-integration exist between all the variables in every country expect for the America. Finding showed that there is no co-integration or relationship between the variable in America in short run as well as long run.
Moore (1990) conducted a research using the data from 1970 to 1988. His findings suggested a negative correlation between the price of gold and stock market which means when the value of gold rises, there is a fall in the stock market. These findings were supported by Büyüksalvarcı (2010). He conducted a research on Turkish stock exchange. He found out that, for Turkish investors, gold is an alternative route. Investors would invest in gold when its prices rise, in turn there would be less investment into stock market. Thus, initiating the stock market prices to drop. Hence, a negative correlation between two variables.
Sharma & Mahendru (2010) piloted a research to find out the impact of economic variables on the prices of gold in India. They used data of one year starting from January 2008 to January 2009. They found out that there is a positive correlation between the gold price and the stock market and gold price does have an impact on the stock market of the economy.

3. Methodology
3.1 Data
Secondary data has been used for the research. Time series data for gold prices and KSE-100 index has been used. The closing prices of KSE-100 index for every month have been used along with the average per month gold price in grams ( price in Pakistan). The data has been used from the year February 2005- 2012. The closing value of KSE 100 index has been collected from Yahoo Finance and gold prices in grams have been collected from forex (online website).
3.2 Variables
Independent Dependent
Gold price (in grams) KSE 100-index (stock market)
3.3 Statistical Model
The statistical models that will be used in this research to test whether gold prices effect the stock market will be: Unit root test of Augmented Dickey Fuller and Granger causality test. All the tests will be carried out on Eviews. Both the time series data for KSE 100-index and gold prices will be tested on Augmented Dickey Fuller model will be used to check that data is stationary. If data of both variables is integrated on the same order then the data will be tested for integration with Johansen co-integration test. Finally to see the relationship between both variables Granger causality test is applied.

4. Results and Discussion
UNIT ROOT TEST ( AUGMENTED DICKEY FULLER)

LEVEL FIRST DIFFERENCE With Trend Without trend With Trend Without Trend Gold price | 0.041405 | 0.011006 | 0.241856*** | 0.223657*** | KSE 100-INDEX | 0.042044 | 0.041183 | 0.189718*** | 0.188192*** | *** Denotes 99% significance level

At level and without trend (gold) ADF Test Statistic | 1.860525 | 1% Critical Value* | -3.5111 | | | 5% Critical Value | -2.8967 | | | 10% Critical Value | -2.5853 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(GOLD) | Method: Least Squares | Date: 11/12/12 Time: 13:34 | Sample(adjusted): 2005:05 2012:02 | Included observations: 82 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | GOLD(-1) | 0.020478 | 0.011006 | 1.860525 | 0.0666 | D(GOLD(-1)) | -0.351912 | 0.117103 | -3.005144 | 0.0036 | D(GOLD(-2)) | 0.051516 | 0.119699 | 0.430382 | 0.6681 | C | 16.29695 | 25.45132 | 0.640319 | 0.5238 | R-squared | 0.153542 | Mean dependent var | 48.31707 | Adjusted R-squared | 0.120986 | S.D. dependent var | 113.9154 | S.E. of regression | 106.8022 | Akaike info criterion | 12.22739 | Sum squared resid | 889724.0 | Schwarz criterion | 12.34479 | Log likelihood | -497.3228 | F-statistic | 4.716220 | Durbin-Watson stat | 1.966592 | Prob(F-statistic) | 0.004459 |

Data is stationary at lag 2 as probability is above 5% indicating that the data cannot be used for forecasting. R-square value is significant since the value is near 15.3%. Durbin Watson is the closest to 2 around 1.96 which is showing negative autocorrelation. Difference of R –square and adjusted R-square is less than 5% showing no Sample error. T-statistic is greater than 2 indicating significance.
Augmented Dickey Fuller Statistic is 1.85 showing fail to reject the hypothesis of presence of unit root ie, Gold is stationary. In statistics and econometrics, an Augmented Dickey–Fuller test (ADF) is a test for a unit root in a time series sample. It is an augmented version of the Dickey–Fuller test for a larger and more complicated set of time series models. The augmented Dickey–Fuller (ADF) statistic, used in the test, is a negative number. The more negative it is, the stronger the rejection of the hypothesis that there is a unit root at some level of confidence. To further conduct the test we will have to incorporate the trend in the test since ADF is higher than critical value
At level and with trend (gold) ADF Test Statistic | -1.372596 | 1% Critical Value* | -4.0727 | | | 5% Critical Value | -3.4645 | | | 10% Critical Value | -3.1585 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(GOLD) | Method: Least Squares | Date: 11/12/12 Time: 13:35 | Sample(adjusted): 2005:05 2012:02 | Included observations: 82 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | GOLD(-1) | -0.056832 | 0.041405 | -1.372596 | 0.1739 | D(GOLD(-1)) | -0.316248 | 0.116565 | -2.713062 | 0.0082 | D(GOLD(-2)) | 0.071778 | 0.118115 | 0.607702 | 0.5452 | C | 17.88804 | 25.02898 | 0.714693 | 0.4770 | @TREND(2005:02) | 3.917429 | 2.025177 | 1.934363 | 0.0567 | R-squared | 0.192769 | Mean dependent var | 48.31707 | Adjusted R-squared | 0.150834 | S.D. dependent var | 113.9154 | S.E. of regression | 104.9732 | Akaike info criterion | 12.20433 | Sum squared resid | 848492.1 | Schwarz criterion | 12.35108 | Log likelihood | -495.3773 | F-statistic | 4.596940 | Durbin-Watson stat | 1.968029 | Prob(F-statistic) | 0.002212 | | | | |

Data is still stationary at second lag as probability is above 5% (exactly 54.5%) indicating that the data cannot be used for forecasting. R-square is 19.2% shows variance in the data and is significant as F-statistics is greater than 4. Durbin Watson is 1.968 showing the level and trend and intercept to be valid yet autocorrelation is negative. Difference of R –square and adjusted r-square is less than 5 % showing no Sample error.
Augmented Dickey Fuller Statistic is -1.37which is higher than the T-statistic at 10% level (-3.1) showing fail to reject of hypothesis After this analysis we need to further conduct Unit root test on the gold, while taking first difference and intercept in consideration till the data has attained non-stationary status.

At first difference with trend (gold) ADF Test Statistic | -6.701310 | 1% Critical Value* | -4.0742 | | | 5% Critical Value | -3.4652 | | | 10% Critical Value | -3.1589 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(GOLD,2) | Method: Least Squares | Date: 11/12/12 Time: 13:37 | Sample(adjusted): 2005:06 2012:02 | Included observations: 81 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | D(GOLD(-1)) | -1.620751 | 0.241856 | -6.701310 | 0.0000 | D(GOLD(-1),2) | 0.276500 | 0.193742 | 1.427153 | 0.1576 | D(GOLD(-2),2) | 0.236429 | 0.115361 | 2.049468 | 0.0439 | C | 10.80271 | 24.65268 | 0.438196 | 0.6625 | @TREND(2005:02) | 1.547660 | 0.557803 | 2.774564 | 0.0070 | R-squared | 0.702408 | Mean dependent var | 1.185185 | Adjusted R-squared | 0.686745 | S.D. dependent var | 185.9581 | S.E. of regression | 104.0792 | Akaike info criterion | 12.18792 | Sum squared resid | 823268.2 | Schwarz criterion | 12.33573 | Log likelihood | -488.6108 | F-statistic | 44.84584 | Durbin-Watson stat | 2.047723 | Prob(F-statistic) | 0.000000 |

Taking Gold figures in consideration the data was re analyzed on E-Views implementing the unit root test. While taking difference and incorporating intercept both the following was derived:
Data is now Non-stationary as probability is less than 5 %( exactly 0.1%) indicating that the data will or can be used for forecasting. R-square value is highly significant since the value is near 70.2%.
Durbin Watson is the closest to 2 around 2.04 showing the 1st difference & trend to be valid hence Difference of R –square and adjusted r-square is less than 5 % showing no Sample error. T-Statistic is Greater than 2 Indicating significance. Augmented Dickey Fuller Statistic is -6.7 which is lower than the T-statistic at 10% level (-3.1) showing rejection of hypothesis.
At first difference without trend (gold) ADF Test Statistic | -5.861007 | 1% Critical Value* | -3.5121 | | | 5% Critical Value | -2.8972 | | | 10% Critical Value | -2.5855 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(GOLD,2) | Method: Least Squares | Date: 11/12/12 Time: 13:39 | Sample(adjusted): 2005:06 2012:02 | Included observations: 81 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | D(GOLD(-1)) | -1.310858 | 0.223657 | -5.861007 | 0.0000 | D(GOLD(-1),2) | 0.050845 | 0.183334 | 0.277334 | 0.7823 | D(GOLD(-2),2) | 0.142941 | 0.115029 | 1.242645 | 0.2178 | C | 63.80213 | 16.24808 | 3.926750 | 0.0002 | R-squared | 0.672264 | Mean dependent var | 1.185185 | Adjusted R-squared | 0.659496 | S.D. dependent var | 185.9581 | S.E. of regression | 108.5117 | Akaike info criterion | 12.25971 | Sum squared resid | 906658.8 | Schwarz criterion | 12.37796 | Log likelihood | -492.5184 | F-statistic | 52.64851 | Durbin-Watson stat | 2.007662 | Prob(F-statistic) | 0.000000 |

Taking Gold figures in consideration the data was re analyzed on E-Views implementing the unit root test. While taking difference and incorporating intercept both the following was derived:
Data is now Non-stationary as probability is less than 5 %( exactly 0.1%) indicating that the data will or can be used for forecasting. R-square value is highly significant since the value is near 70.2%.
Durbin Watson is the closest to 2 around 2.04 showing the 1st difference & trend to be valid hence Difference of R –square and adjusted r-square is less than 5 % showing no Sample error. T-Statistic is Greater than 2 Indicating significance. Augmented Dickey Fuller Statistic is -6.7 which is lower than the T-statistic at 10% level (-3.1) showing rejection of hypothesis.

At level without trend (kse) ADF Test Statistic | -1.890217 | 1% Critical Value* | -3.5111 | | | 5% Critical Value | -2.8967 | | | 10% Critical Value | -2.5853 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(KSE) | Method: Least Squares | Date: 11/12/12 Time: 13:40 | Sample(adjusted): 2005:05 2012:02 | Included observations: 82 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | KSE(-1) | -0.077844 | 0.041183 | -1.890217 | 0.0624 | D(KSE(-1)) | 0.135518 | 0.111500 | 1.215406 | 0.2279 | D(KSE(-2)) | -0.052580 | 0.109568 | -0.479884 | 0.6327 | C | 861.0886 | 437.7552 | 1.967055 | 0.0527 | R-squared | 0.059894 | Mean dependent var | 50.05329 | Adjusted R-squared | 0.023736 | S.D. dependent var | 821.3831 | S.E. of regression | 811.5762 | Akaike info criterion | 16.28338 | Sum squared resid | 51375166 | Schwarz criterion | 16.40079 | Log likelihood | -663.6188 | F-statistic | 1.656464 | Durbin-Watson stat | 1.998861 | Prob(F-statistic) | 0.183267 |

Data is still stationary at second lag as probability is above 5% (exactly 63.2%) indicating that the data cannot be used for forecasting. R-square is 5.9% shows variance in the data and model is insignificant as F-statistics is less than 4. Durbin Watson is 1.99 showing the level and trend and intercept to be valid yet autocorrelation is negative. Difference of R –square and adjusted r-square is less than 5 % showing no Sample error.
Augmented Dickey Fuller Statistic is -1.89 which is higher than the T-statistic at 10% level (-2.5) showing fail to reject of hypothesis After this analysis we need to further conduct Unit root test on the KSE, while taking first difference and intercept in consideration till the data has attained non-stationary status.
At level with trend (kse) ADF Test Statistic | -1.849845 | 1% Critical Value* | -4.0727 | | | 5% Critical Value | -3.4645 | | | 10% Critical Value | -3.1585 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(KSE) | Method: Least Squares | Date: 11/12/12 Time: 13:41 | Sample(adjusted): 2005:05 2012:02 | Included observations: 82 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | KSE(-1) | -0.077775 | 0.042044 | -1.849845 | 0.0682 | D(KSE(-1)) | 0.135459 | 0.112386 | 1.205292 | 0.2318 | D(KSE(-2)) | -0.052676 | 0.110710 | -0.475801 | 0.6356 | C | 862.0303 | 450.8714 | 1.911921 | 0.0596 | @TREND(2005:02) | -0.038108 | 3.874718 | -0.009835 | 0.9922 | R-squared | 0.059895 | Mean dependent var | 50.05329 | Adjusted R-squared | 0.011059 | S.D. dependent var | 821.3831 | S.E. of regression | 816.8287 | Akaike info criterion | 16.30777 | Sum squared resid | 51375101 | Schwarz criterion | 16.45452 | Log likelihood | -663.6187 | F-statistic | 1.226446 | Durbin-Watson stat | 1.998867 | Prob(F-statistic) | 0.306607 |

Data is still stationary at second lag as probability is above 5% (exactly 63.5%) indicating that the data cannot be used for forecasting. R-square is 5.9% shows variance in the data and model is insignificant as F-statistics is less than 4. Durbin Watson is 1.998 showing the level and trend and intercept to be valid yet autocorrelation is almost null but bordering on negative. Difference of R –square and adjusted r-square is less than 5 % showing no Sample error.
Augmented Dickey Fuller Statistic is -1.84 which is higher than the T-statistic at 10% level (-3.1) showing fail to reject of hypothesis After this analysis we need to further conduct Unit root test on the D(KSE), while taking first difference and intercept in consideration till the data has attained non-stationary status.

At first difference without trend ADF Test Statistic | -4.862423 | 1% Critical Value* | -3.5121 | | | 5% Critical Value | -2.8972 | | | 10% Critical Value | -2.5855 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(KSE,2) | Method: Least Squares | Date: 11/12/12 Time: 13:42 | Sample(adjusted): 2005:06 2012:02 | Included observations: 81 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | D(KSE(-1)) | -0.915067 | 0.188192 | -4.862423 | 0.0000 | D(KSE(-1),2) | 0.015879 | 0.151719 | 0.104663 | 0.9169 | D(KSE(-2),2) | -0.061487 | 0.111226 | -0.552808 | 0.5820 | C | 53.67777 | 92.86043 | 0.578048 | 0.5649 | R-squared | 0.462073 | Mean dependent var | 14.72963 | Adjusted R-squared | 0.441115 | S.D. dependent var | 1111.995 | S.E. of regression | 831.3123 | Akaike info criterion | 16.33201 | Sum squared resid | 53213171 | Schwarz criterion | 16.45025 | Log likelihood | -657.4464 | F-statistic | 22.04734 | Durbin-Watson stat | 2.009670 | Prob(F-statistic) | 0.000000 |

Taking KSE figures in consideration the data was re analyzed on E-Views implementing the unit root test. While taking difference and incorporating intercept both the following was derived:
Data is now Non-stationary as probability is less than 5 %( exactly 0.1%) indicating that the data will or can be used for forecasting. R-square value is highly significant since the value is near 46.2%. The data also shows that impact is seen on the first lag only.
Durbin Watson is the closest to 2 around 2.00 showing the 1st difference & trend to be valid hence Difference of R –square and adjusted r-square is less than 5 % showing no Sample error. T-Statistic is Greater than 2 Indicating significance. Augmented Dickey Fuller Statistic is -4.86 which is lower than the T-statistic at 10% level (-2.56) showing rejection of hypothesis.

At first difference with trend ADF Test Statistic | -4.853793 | 1% Critical Value* | -4.0742 | | | 5% Critical Value | -3.4652 | | | 10% Critical Value | -3.1589 | *MacKinnon critical values for rejection of hypothesis of a unit root. | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | Dependent Variable: D(KSE,2) | Method: Least Squares | Date: 11/12/12 Time: 13:44 | Sample(adjusted): 2005:06 2012:02 | Included observations: 81 after adjusting endpoints | Variable | Coefficient | Std. Error | t-Statistic | Prob. | D(KSE(-1)) | -0.920851 | 0.189718 | -4.853793 | 0.0000 | D(KSE(-1),2) | 0.019323 | 0.152763 | 0.126490 | 0.8997 | D(KSE(-2),2) | -0.058875 | 0.112004 | -0.525651 | 0.6007 | C | 127.0294 | 199.2307 | 0.637599 | 0.5257 | @TREND(2005:02) | -1.660216 | 3.983545 | -0.416769 | 0.6780 | R-squared | 0.463299 | Mean dependent var | 14.72963 | Adjusted R-squared | 0.435052 | S.D. dependent var | 1111.995 | S.E. of regression | 835.8090 | Akaike info criterion | 16.35442 | Sum squared resid | 53091831 | Schwarz criterion | 16.50222 | Log likelihood | -657.3539 | F-statistic | 16.40149 | Durbin-Watson stat | 2.009313 | Prob(F-statistic) | 0.000000 |

Data is still non-stationary at first lag as probability is above 5% (exactly 0.00%) indicating that the data can be used for forecasting. R-square is 46% shows variance in the data and model is significant as F-statistics is more than 4 indicating that model is fit for use. Durbin Watson is 2.00 showing the level and trend and intercept to be valid yet there is no autocorrelation. Difference of R –square and adjusted r-square is less than 5 % showing no Sample error.
Augmented Dickey Fuller Statistic is -4.85 which is lower than the T-statistic at 10% level (-3.1) showing rejection of null hypothesis After this analysis we need don’t need to conduct to further conduct Unit root test on the KSE, as data has attained non-stationary status.

GRANGER CAUSALITY TEST Pairwise Granger Causality Tests | | Sample: 2005:02 2012:02 | Lags: 2 | Null Hypothesis: | Obs | F-Statistic | Probability | D(GOLD) does not Granger Cause D(KSE) | 82 | 1.09568 | 0.33947 | D(KSE) does not Granger Cause D(GOLD) | 1.22312 | 0.29996 |

The granger causality test is used for explorative purposes by economists and political scientists working with time series, In both cases of either gold affecting KSE or KSE affecting gold it is seen that we cannot reject the null hypothesis as the values of probability are coming to be insignificant. We fail to reject the null hypothesis whenever the p-value is greater than the 0.05

5.0 Conclusion After applying the Unit root test and granger causality test on the KSE and gold figures the test indicates that when applied at level testing for both trend and intercept the data.
Further carrying out the test while taking the first difference and intercept it is found that the data has become non-stationary indicating that the data now can be used for forecasting.
Furthermore the augmented dickey fuller value and the t-statistic value when compared conclude that the hypothesis “Gold prices have no impact on the Pakistan stock market” is rejected as it is seen that after every one year at level both figures for KSE AND GOLD were seen to reject the null hypothesis due to their augmented dickey-fuller statistics going below the 10% critical value for t-statistic.
Meanwhile the granger causality test also rejects the null hypothesis that gold prices have no impact on Pakistan stock market as the statistics for this hypothesis ruled to be insignificant on both model fitness and model significance hence proving that when H0 is rejected then resulting is that H1 is accepted.
The recent gold prices have seen a paradigm shift in stock prices as if the gold prices increase then the value for international currency also increases which have an effect on price of oil import, export and so on hence an overall general increase or decrease in the stock prices depending on the performance of those companies in comparison to rising gold prices and related currency prices or setbacks.
6. Bibliography
Adven (2011), ‘‘History of the Karachi Stock Exchange (KSE)’’, available at: www.advfn.com/StockExchanges/history/KSE/KarachiStockExchange.html(accessed 08
January 2011)
Ameinfo (2009) ‘‘Saudi Gold Consumption tops SR 16.5bn’’, 17 August, available at: http://www.ameinfo.com/206839.html Blose, L.E. and Shieh, J.C.P. (1995). “The Impact of Gold Price on the value of Gold Mining
Stock”, Review of Financial Economics, Vol. 4, pp. 125-139
Büyük,alvarcı, A. (2010). ‘‘The Effects of Macroeconomics Variables on Stock Returns:
Evidence from Turkey’’ European Journal of Social Sciences,Vol. 14 No. 3, pp.404-416
Bloomberg Businessweek (2011), ‘‘Karachi Stock Exchange (Guarantee) Limited’’, 29
September, available at: http://investing.businessweek.com/research/stocks/private/snapshot.asp?privcapId=23704385 (accessed 29 September 2011)
Bloomberg Businessweek (2002), ‘‘Pakistan’s Election Won’t Be Perfect, but it May Help’’,
07 October, available at: http://www.businessweek.com/magazine/content/02_40/b3802079.htm(accessed 20 August
2011)
Daily Times (2009), ‘‘Pakistan among Gold Producing Countries’’, 11 May, available at: http://www.dailytimes.com.pk/default.asp?page=2009%5C05%5C11%5Cstory_11-5-2009_pg7_2(accessed 06 January 2011)
Forex (2011), available at: www.forex.pk/bullion-rates.php(accessed 06 January 2011)
Graham, S. (2001). “The Price of Gold and Stock Price Indices for the United States”,
Adrienne Roberts FT Personal Finance, pp.14
Karachi Stock Exchange (2011), ‘‘Karachi Stock Exchange website’’, available at: http://www.kse.com.pk/(accessed 29 September 2011)
Kolluri, B. R. (1981). “Gold As A Hedge Against Inflation: An Empirical Investigation”
Quarterly Review of Economics and Business, Vol. 21, pp.13-24
Levin, E.J. and Wright, R.E (2006). ‘‘Short-Run and Long-Run Determinants of the Price of
Gold’’, Study No.32, World Gold Council Research, London, June 2006.
Mahdavi, S., Zhou, S. (1997). Gold and Commodity Prices as Leading Indicators of Inflation:
Tests of Long-Run Relationship and Predictive Performance, Journal of Economics and
Business, Vol. 49, pp.475-489
Moore, G.H. (1990). Gold Prices and a Leading Index of Inflation, Challenge, Vol. 33 No.4, pp.52-56 -12-
Mpofu, B. (2010). ‘‘SA Slips Down Gold Production Rankings’’ available at: http://www.businessday.co.za/articles/Content.aspx?id=103551(accessed 17 February 2010)
Naqvi, N. (2011), ‘‘Every Dog has its Day’’, available at: http://jang.com.pk/thenews/jul2011-weekly/moneymatters-11-07-2011/mm_p5.htm(accessed 29 September 2011)
Opdyke, J. (2010). "Rethinking Gold: What if It Isn't a Commodity After All?", The Wall
Street Journal.August, 21, available at: http://online.wsj.com/article/SB10001424052748703908704575433670771742884.html?mod =WSJ_hps_sections_personalfinance#printMode(accessed 17 February 2010)
Pritchard, A.E. (2010). "Gold Reclaims Its Currency Status as the Global System Unravels",
The Telegraph, 20 June, available at: http://www.telegraph.co.uk/finance/comment/ambroseevans_pritchard/7841961/Gold-reclaims-its-currency-status-as-the-global-system-unravels.html(accessed 15 March 2011)
Ratanapakorn, O. and Sharma, S.C. (2007), ‘‘Dynamic Analysis between the US Stock
Returns and the Macroeconomic Variables’’, Applied Financial Economics, Vol.17 No. 4-6, pp.369-377 Sharma, G.D., Mahendru, M. (2010). ‘‘Impact of Macro-Economic Variables on Stock Prices in India’’, Global Journal of Management and Business Research, Vol. 10 Issue 7, pp.19-26
Sheth, N. (2008), ‘‘Pakistan Could Become Cash Magnet If New Government Passes Some
Tests’’, The Wall Street Journal,April, 2, Page C5
Wang, M., Wang, C.P., Huang, T. (2010) ‘‘Relationships among Oil Price, Gold Price,
Exchange Rate and International Stock Markets’’ International Research Journal of Finance and Economics, Issue 47, pp. 80-89
Wikipedia (2001), ‘‘Karachi Stock Exchange’’, available at: http://en.wikipedia.org/wiki/Karachi_Stock_Exchange Wikipedia (2001), KSE-30 Index, available at: http://en.wikipedia.org/wiki/KSE-30_Index
Wogan, J. (2009) Is Demand for Gold Seasonal and Does it Follow a Pattern?, available at: http://ezinearticles.com/?Is-Demand-For-Gold-Seasonal-and-Does-it-Follow-a-Pattern?&id=3796941

Similar Documents

Premium Essay

Demand Forcast of Gold

...FOR AND SUPPLY OF GOLD’’ CASE STUDY SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENT OF MASTERS OF BUSINESS MANAGEMENT COURSE OF ALLIANCE UNIVERSITY SUBMITTED TO PROF DR.SAMIK SHOME (SENIOUR LECTURER) ALLIANCE BUSINESS SCHOOL SUBMITTED BY ABHISHEK M.R RAHUL CHARU BALDWA SHEIKH PARVESH T.SHAMEEL (2012-14, Section H) Group 01 LIST OF CONTENTS Serial Number | Contents | Page number | 1 | Executive summary | | 2 | Issue analysis | | 3 | Data analysis | | 4 | Key decision criteria | | 5 | Alternatives analysis | | 6 | Statistical data | | 7 | Non-Price factors | | 8 | Conclusion | | Executive summary India is one of the largest consumers of gold in the world. India’s share alone for the demand of gold comes to around 25%, which is a very large number considering there are around 200 countries in this planet. One of the main possibilities for this astronomical demand for gold in India might be because of the fact that gold plays a major role in Indian culture. Festivals like Diwali and AkshayaTritiya demand the use of the gold irrespective of the fact that gold is a very costly metal. Gold is a commodity which represents status symbol (conspicuous goods) The reasons why there is a mismatch between the demand and the supply of gold in India is quite obvious. Hutti gold mine company in Karnataka being the only company in India to mine and process gold ore and the fact that we recycle about 105 tonnes of gold per annum to meet...

Words: 2007 - Pages: 9

Premium Essay

Econ for Business

...Part 1-Micro Economic Principles Applied Why do people spend hours lining up outside stores to purchase the iphone 5, when there are so many cheaper alternatives available? In recent months, an observation was made about consumer behaviour when it came to the purchasing of the recently released model of the iphone 5, by Apple Inc. The devices cost start at $199 us dollars and require a two year service plan. Why then, would persons stand in line for days, to acquire this device? In examining the demand and supply of the said product, statistics were researched to gain a better understanding of the reasoning behind such behaviour, and the opportunity cost attached. Information attained by Apple showed that the iphone 5 demands outstrips supply, as pre-orders shattered previous records, and some customers having to wait over a month to acquire the device. More than 2 million phones were bought in the first 24hours after apple took pre-orders. Customers lined up at the 356 retail stores across the US for days in advance. Why then, even after the fact that the phone is readily available across the US, would consumers behave in such a manner? It would seem that the actual supply of the iphone was limited, hence affecting the demand for the product. The features of the phone were advertised to be not significantly different from the phones previous model. The significant interest of the product was as a result of pent up demand, as some customers had been holding off their purchases...

Words: 2991 - Pages: 12

Free Essay

The Determinants of Gold Prices in Malaysia

...Journal of Advanced Management Science Vol. 2, No. 1, March 2014 The Determinants of Gold Prices in Malaysia Siti Nurulhuda Ibrahim, Nurul Izzat Kamaruddin, and Rahayu Hasan Universiti Teknologi MARA, Bandaraya Melaka, Malaysia Email: {Sitinur304, nrl_izzat, rahayuhasan} @bdrmelaka.uitm.edu.my Abstract—This paper analysed factors that affecting the prices of gold in Malaysia. The study used Multiple Linear Regression Model to determined significant relationship between dependent and independent variables, covering data for 10 years period which are from 2003 until 2012. The researcher used three independent variables that affect the prices of gold which are crude oil prices, inflation rates and exchange rates. The empirical results have found there is negatively significant relationship between inflation rates and exchange rates on gold prices, while a crude oil price is positively significant. The results of the study are valuable for both academic and investor. Index Terms—determinant, gold prices, crude oil prices, inflation rates, exchange rates price and sell it at high price later on. Thus, this is why the factors that affect the gold price must be determined so that people may estimate the timing to buy, hold or sell the gold. This study is made to seek the proofs for the possible factors that affect the gold price in Malaysia. From this research, the most important or most influence factor can also be determined. Simply put, the findings for this research will bring...

Words: 3136 - Pages: 13

Premium Essay

Research

...in the price of gold. They used monthly gold price data January 1976 to December 1999 and applied Error Correction Model. If set of conditions have satisfied, the price of gold will rise over time at the general rate of inflation. Ranson (2005) tried to find out role of gold and oil as predictor of inflation. He found that gold price is more reliable barometer of the inflation than oil price because the effect on official inflation statistics, is reliably indicated by how far policy actions have allowed the price of gold to rise. Worthington and Pahlavani (2006) tested for the presence of a stable long-run relationship between the monthly price of gold and inflation in the United states from 1945 to 2006 and from 1973 to 2006. By applying unit root and modified cointegration test, they provided strong evidence of a cointegrating relationship between inflation and gold. This is in line with the view that gold can serve as an effective inflationary hedge. Levin and Wright (2006) tried to find out short-run and long-run determinants of the price of gold for the period January 1976 to August 2005. By using cointegration techniques they confirmed that the long-run price of gold moves only to the US price level, while short-run movements in the gold price were related to exchange rate, gold lease rate , gold’s beta, US inflation , US inflation volatility, credit risk and political uncertainty. Tully & Lucey (2007) investigated the relationship between gold prices and exchange...

Words: 1220 - Pages: 5

Premium Essay

Protection of Savings Against Inflation in Malaysia

..."inflation" to refer to a rise in the price level. Rising in price and increase in money supply is two different meanings. The increases of money supply can also being called as monetary inflation while rising in price as price inflation. Economists generally agree that in the long run, inflation is caused by increases in the money supply. However, in the short and medium term, inflation is largely dependent on supply and demand pressures in the economy. In economics, inflation is a rise in the general level of prices of goods and services in an economy over a period of time. When the general price level rises, each unit of currency buys fewer goods and services. Consequently, inflation also reflects erosion in the purchasing power of money or in other word a loss of real value in the internal medium of exchange and unit of account in the economy. A chief measure of price inflation is the inflation rate, the annualized percentage change in a general price index (normally the Consumer Price Index) over time. 2.0 THE EXISTENCE OF INFLATION AND HOW IT MEASURED In order to know whether the existence of inflation, we must analyze the demand supply curve and see how it can relate to an increase in price. That is if we do believe that any increase in price somehow relates to inflation. An increase in price does not necessarily must relate to inflation. The identifiers that are usually associated with price are demand, inflation and deflation...

Words: 2412 - Pages: 10

Premium Essay

The Relationships Among Determinants of the Gold Price in Malaysia

...determinants of the gold price in Malaysia RESEARCH OBJECTIVES 1. To determine the relationship between USD-MYR exchange rate on the Malaysian gold price. 2. To determine the relationship between the price of crude oil on the Malaysian gold price. 3. To determine the relationship between the Malaysian Gross Domestic Product on the Malaysian gold price 4. To determine the relationship between inflation rate on the Malaysian gold price. 5. To determine what are the stronger factors influencing the price of gold in Malaysia LITERATURE REVIEW There are number of group studies literature related with the functions gold has in the economy. The first group includes the literature showing how gold price is affected by macroeconomic news (Dooley et al., 1995; Fortune, 1987; Sherman, 1983; Sjaastad and Scacciallani, 1996; Wang and Lee, 2011). These studies investigate the relation of gold price with economic variables which includes inflation, interest rate, exchange rate etc. Second group includes the literature focusing on the examined the influencing factors in the variations of the gold price (Diba and Grossman, 1984; Pindyck, 1993; Baker and Tassel, 1985). Third group includes the literature aiming on the advantage of using gold in diversifying risk for a long-run portfolio (Chua et al., 1990; Sherman, 1986; Michaud et al., 2006; Ciner, 2011; Jaffe, 1989). Fourth group includes the literature focusing on the inflation hedging effectiveness of gold (Kolluri, 1981;...

Words: 1395 - Pages: 6

Free Essay

Student

...rigid adherence to the gold standard "caused" the crash and depression of 1929-39 and beyond. But, as Bernanke and Liaquat admit, the central bankers of the post-war period in somes cases (France and the US quite openly and purposefully) "sterilized" their gold so that the money supply did not expand when needed but in fact contracted. So it was a failure to follow the gold standard rather than gold itself which was the culprit. Nor do either Bernanke nor Ahamed explain why the gold standard worked quite well for a century before WW1, although Bernanke admits that is an "unexplained" issue. While acknowledging the long history of the gold standard and its importance in the development of central banking, Ben Bernanke made crystal clear that we're never going back to the gold standard. He explained that the argument supporting the gold standard has two parts: 1) the "desire to maintain the value of the dollar"—implying a "desire to have very low price stability, and 2) an aversion to allowing "the central bank to respond with monetary policy to booms and busts," explaining that "the advocates of the gold standard don't want to give the central bank that power." But regardless of the impetus for these arguments, he explains, a return to the gold standard now "would not be practical for monetary reasons or policy reasons": Bernanke pointed out various reasons that there's simply "not enough gold" to sustain today's global economy. First, extracting gold from the ground is a costly...

Words: 1139 - Pages: 5

Premium Essay

Economics

...Do Soaring Price and Mounting Demand in Indian ... Ref. No.: ME0006 Do Soaring Price and Mounting Demand in Indian Gold Market Speak of a Paradox? Demand for gold is a widespread observable fact across the world. However, the major demand for gold comes from five countries, namely India, Italy, Turkey, US and China. Among these countries, which account for 55% of the total gold demand, India’s share alone comes to around 25%. Cultural and religious traditions involving wearing of jewellery play a major role in influencing Indian gold demand. Around 75% of the world demand for gold is jewellery-based and the rest 25% is investment based. Speaking about India’s fondness for gold, Lord John Maynard Keynes is alleged to have remarked, “India’s gold consumption reflects the ‘ruinous love of a barbaric relic’.”1 In India, there is a huge mismatch between demand for and supply of gold. Hutti Gold Mine Company located in Karnataka is the only company in India, which produces gold by mining and processing the gold ore. It produces around 3 tonnes of gold per year. Another source of supply of gold in India has been coming from recycled jewellery/scrap jewellery. In 2006, it was reported that, “Over the past five years, Indians have recycled an average of 105 tonnes of gold per annum.”2 To meet the bulk of the demand, India imports gold. India imports around “700 tonnes of gold a year”.3 In October 2008, demand for gold increased. While this increase in demand for gold was attributed...

Words: 2010 - Pages: 9

Premium Essay

Islamic Money

...Abstract The economic instabilities and crisis which have direct effect on the well-being of the people in the society are caused by many issues and variables. People can work to earn income and improve their lives through all difficulties in the economic conditions. People also save some of their income for their future needs. Their save money would be affected by inflation and their purchasing power would be diminished. Inflation is mostly a matter of monetary policy which occurs when a government prints money without real asset backup more than the amount that is need for a stable economy. This study examined the effects of implementation of Islamic currency on the prevention of inflation and price instabilities. Economic students of IIUM were randomly given questionnaires about the agreeability of Islamic currency in today’s developed economy and its usefulness to prevent inflation. The survey showed that Islamic currency model (dinar and dirham) would be able to control inflation and instabilities of prices by having 100 percent of gold and silver reserves for every single amount of money circulating in the economy. Moreover, it is emphasized that Islamic governments should implement this model to overcome the problems people are facing by inflation which diminishes their purchasing power of saved money and their uncertainty in future investments. Keyword: Fiat money, Islamic currency, perception, inflation, economic growth. Islamic currency: The perception of IIUM...

Words: 4604 - Pages: 19

Premium Essay

Research on Gold Price

...International Journal of Applied Business and Economic Research, Vol. 9, No. 2, (2011): 145-165 STUDY ON DYNAMIC RELATIONSHIP AMONG GOLD PRICE, OIL PRICE, EXCHANGE RATE AND STOCK MARKET RETURNS K. S. Sujit1 and B. Rajesh Kumar2 Abstract: The dynamic and complex relationship among economic variables has attracted the researchers, policy makers and business people alike. This study is an attempt to test the dynamic relationship among gold price, stock returns, exchange rate and oil price. All these variables have witnessed significant changes over time and hence, it is absolutely necessary to validate the relationship periodically. This study takes daily data from 2nd January 1998 to 5th June 2011, constituting 3485 observations. Using techniques of time series the study tried to capture dynamic and stable relationship among these variables using vector autoregressive and cointegration technique. The results show that exchange rate is highly affected by changes in other variables. However, stock market has fewer roles in affecting the exchange rate. In this study we tested two models and one model suggests that there is weak long term relationship among variables. JEL classification: C22; E3; Keywords: Unit root tests; granger causality test, Cointegration; Vector auto regression (VAR) INTRODUCTION Gold was one of the first metals humans excavated. Gold as an asset has a hybrid nature: it is a commodity used in many industries but also it has maintained throughout history a unique...

Words: 9171 - Pages: 37

Premium Essay

Delphi

...GOLD STANDARD The gold standard was a commitment by participating countries to fix the prices of their domestic currencies in terms of a specified amount of gold. National money and other forms of money (bank deposits and notes) were freely converted into gold at the fixed price. England adopted a de facto gold standard in 1717 after the master of the mint, Sir Isaac Newton, overvalued the guinea in terms of silver, and formally adopted the gold standard in 1819. The United States, though formally on a bimetallic (gold and silver) standard, switched to gold de facto in 1834 and de jure in 1900 when Congress passed the Gold Standard Act. In 1834, the United States fixed the price of gold at $20.67 per ounce, where it remained until 1933. Other major countries joined the gold standard in the 1870s. The period from 1880 to 1914 is known as the classical gold standard. During that time, the majority of countries adhered (in varying degrees) to gold. It was also a period of unprecedented economic growth with relatively free trade in goods, labor, and capital. The gold standard broke down during World War I, as major belligerents resorted to inflationary finance, and was briefly reinstated from 1925 to 1931 as the Gold Exchange Standard. Under this standard, countries could hold gold or dollars or pounds as reserves, except for the United States and the United Kingdom, which held reserves only in gold. This version broke down in 1931 following Britain’s departure from gold in the...

Words: 1959 - Pages: 8

Premium Essay

Factors Affecting Gold Price in Malaysia

...Applied Scientific Research www.textroad.com Factors Affecting the Price of Gold in Malaysia Hanif Zakaria, Nabilah Abdul Shukur, Salwani Affandi, Wan Mansor Wan Mahmood Faculty of Business Management Universiti Teknologi MARA, Dungun, Terengganu, Malaysia Received: March 9, 2015 Accepted: June 16, 2015 ABSTRACT Gold is a precious metal which serves as both financial and real assets. The value of gold in the society goes more than just economic, as it is also treasured as a storage and display of mammon and culture.Of late, the price of gold is not stable in which it tends to oscillatecontingent on the economic condition. In the long-run, its prices keep increasing due to high demand and inadequate supply worldwide. However, in the short-run, its price seems to be volatile due to various potential reasons. Therefore, this study was conducted to determine the factors influencing gold prices in Malaysia. In order to achieve the objective, Stata software was used to assess the prospective relationships between the gold prices as the dependent variable and the inflation rate, interest rate and exchange rate as independent variablesby using Pooled Ordinary Least Squares (POLS) methodology. The monthly data employed in this study spans across a 14 years period from year 2000 until 2013. The results revealed that the rates of inflation, exchange and interest were significantly related with gold prices in Malaysia in different magnitude and direction.It is empirically...

Words: 3969 - Pages: 16

Premium Essay

Disney

...Do Soaring Price and Mounting Demand in Indian ... Ref. No.: ME0006 op y Do Soaring Price and Mounting Demand in Indian Gold Market Speak of a Paradox? Demand for gold is a widespread observable fact across the world. However, the major demand for gold comes from five countries, namely India, Italy, Turkey, US and China. Among these countries, which account for 55% of the total gold demand, India’s share alone comes to around 25%. Cultural and religious traditions involving wearing of jewellery play a major role in influencing Indian gold demand. Around 75% of the world demand for gold is jewellery-based and the rest 25% is investment based. Speaking about India’s fondness for gold, Lord John Maynard Keynes is alleged to have remarked, “India’s gold consumption reflects the ‘ruinous love of a barbaric relic’.”1 No tC In India, there is a huge mismatch between demand for and supply of gold. Hutti Gold Mine Company located in Karnataka is the only company in India, which produces gold by mining and processing the gold ore. It produces around 3 tonnes of gold per year. Another source of supply of gold in India has been coming from recycled jewellery/scrap jewellery. In 2006, it was reported that, “Over the past five years, Indians have recycled an average of 105 tonnes of gold per annum.”2 To meet the bulk of the demand, India imports gold. India imports around “700 tonnes of gold a year”.3 In October 2008, demand for gold increased. While this increase...

Words: 2020 - Pages: 9

Premium Essay

Hoho

...A.H.) Monetary Dynamics and Gold Dinar: An Empirical Perspective MANSOR H. IBRAHIM* Professor of Economics International Islamic University Malaysia, Malaysia E-mail: mansorhi@iiu.edu.my. ABSTRACT. According to proponents of Gold Dinar particularly Meera and Aziz (2002), termed as Dinarists’, the fiat monetary system is inherently unstable. In providing an empirical perspective on this contention, this paper investigates monetary dynamics of a Muslim economy, Malaysia. To this end, the paper adopts a vector autoregressive (VAR) framework to document dynamic interactions between money supply and various macroeconomic variables including real output, price level, interest rate and stock prices. The results seem to provide some support for the Dinarists’ contention. First, the results portray clearly an important causal role of money supply for other macroeconomic variables. Second, we document some evidence that expansion in money supply is inflationary. Lastly, money supply – interest rate and money supply – stock price interactions are destabilizing. More importantly, expansion in money supply has the potential of breeding asset price bubbles. However, apart from the above findings, we also find that money supply reacts positively to increase in real output. Since the accommodative role of money supply is necessary or a pre-condition for expansion in production, arguments for Gold Dinar need to be qualified. Moreover, the viability of Gold Dinar comes into question when political...

Words: 8516 - Pages: 35

Premium Essay

Nixon's Economic Boom

...President Nixon put into effect Execute Order 11615, this order was a massive event in United States economic history because it put into effect the end of convertibility of U.S. dollars into gold. Prior to Nixon ending the gold convertibility, the world ran on the Bretton Woods Monetary System. The Bretton Woods Monetary System made it so that all U.S. currency held outside the country was redeemable at the rate of $35 an ounc. Although, this system was slowly deteriorating and by 1971 debts were being paid off and causing massive inflation of the U.S. dollar, Nixon had no choice but to try and keep our economy afloat. By unpegging the U.S. dollar to gold Nixon created a regime in which currency was a free-floating commodity. Ten days prior to the Nixon’s executive United States executive order the United States Congress released a reports suggesting the devaluation of the dollar. Congress was worried that since the United States lacked the gold to back the foreign banks dollar supply, there would be a run at the U.S. gold and lead to a financial meltdown. Most historians feel that President Nixon did not have a choice in the matter, the Vietnam War was being financed by deficit spending, and domestically rising inflation was a major concern for the President who was coming on a re-election year. The biggest result that came of Nixon ending the convertibility of dollars into gold was that it greatly benefited countries that held large gold reserves, like the United...

Words: 944 - Pages: 4