Premium Essay

In: Science

Submitted By jiarui

Words 176154

Pages 705

Words 176154

Pages 705

The Frank J. Fabozzi Series

Fixed Income Securities, Second Edition by Frank J. Fabozzi Focus on Value: A Corporate and Investor Guide to Wealth Creation by James L. Grant and James A. Abate Handbook of Global Fixed Income Calculations by Dragomir Krgin Managing a Corporate Bond Portfolio by Leland E. Crabbe and Frank J. Fabozzi Real Options and Option-Embedded Securities by William T. Moore Capital Budgeting: Theory and Practice by Pamela P. Peterson and Frank J. Fabozzi The Exchange-Traded Funds Manual by Gary L. Gastineau Professional Perspectives on Fixed Income Portfolio Management, Volume 3 edited by Frank J. Fabozzi Investing in Emerging Fixed Income Markets edited by Frank J. Fabozzi and Efstathia Pilarinu Handbook of Alternative Assets by Mark J. P. Anson The Global Money Markets by Frank J. Fabozzi, Steven V. Mann, and Moorad Choudhry The Handbook of Financial Instruments edited by Frank J. Fabozzi Collateralized Debt Obligations: Structures and Analysis by Laurie S. Goodman and Frank J. Fabozzi Interest Rate, Term Structure, and Valuation Modeling edited by Frank J. Fabozzi Investment Performance Measurement by Bruce J. Feibel The Handbook of Equity Style Management edited by T. Daniel Coggin and Frank J. Fabozzi The Theory and Practice of Investment Management edited by Frank J. Fabozzi and Harry M. Markowitz Foundations of Economic Value Added, Second Edition by James L. Grant Financial Management and Analysis, Second Edition by Frank J. Fabozzi and Pamela P. Peterson Measuring and Controlling Interest Rate and Credit Risk, Second Edition by Frank J. Fabozzi, Steven V. Mann, and Moorad Choudhry Professional Perspectives on Fixed Income Portfolio Management, Volume 4 edited by Frank J. Fabozzi The Handbook of European Fixed Income Securities edited by Frank J. Fabozzi and Moorad Choudhry The Handbook of...

Premium Essay

...Introduction to Statistics QTM403 Basic Information Program | BBA 3 (Hons.) | Semester | Fall 2015 | Credit Hours | 3 | Pre requisites (if any) | Mathematics | Resource Person | Iftikhar Hussain | Contact information | ihgrw85@gmail.com | Course Description: Important decisions are rarely made by intuition alone. We need to use the data to develop our insights and to support our analysis. Quantitative analysis includes the tools and techniques with which we seek to replicate reality mathematically and statistically. Statistical Techniques are applied in all the functions of business like Operations, Marketing, HR, Finance etc. The aim of this course is to learn when a technique is appropriate and what it can achieve. The emphasis throughout the course is on concepts and reasoning rather than technical details. You should acquire some basic data analysis skills but most importantly, become a more informed and critical producer and user of business Statistical analyses. Learning Objectives: Ser. # | Course Learning Objectives | Link with Program Learning Objectives | 1 | To understand the basic concepts and principles used in Business Statistics. | To inculcate business knowledge and analytical skills in graduates to think decisively in order to develop innovative solutions to problems in a business environment. | 2 | Organizing qualitative and quantitative data into a frequency table, displaying the data through......

Words: 1330 - Pages: 6

Premium Essay

...Institute of Management Sciences Peshawar Bachelors in Business Studies Course Plan Course Title: Statistics for Business Instructor: Shahid Ali Contact Email shahid.ali@imsciences.edu.pk Semester/Duration: 16 Weeks Course objectives : To introduce students to the concepts of statistics and to equip them with analytical tools to be used in business decision making. The course is intended to polish the numeric ability of the students to identify business problems, describe them numerically and to provide intelligible solutions by data collection and inferential principles. Course pre-requisites Intermediate statistics Attendance Policy: Late arrivals are highly discouraged. Any student coming late to a class late by 5 minutes after the scheduled start time will be marked as absent for the day. The teacher reserves discretion, however, to allow or disallow any student, to sit in the class in case of late arrivals. Attendance is not be entertained once the attendance register is closed. Class Project Students will be divided in groups for a class project. Each group will have to nominate a group leader. The details of the project will be made available to the group leader. Class Presentations Each student will have to make at least one individual presentation and one group presentation in the class. The group presentation will be on the project explained earlier. The individual presentations......

Words: 1059 - Pages: 5

Premium Essay

...Calculating time cost, money cost, and return on forecast, all are based on data mining, marketing research, information analysis and findings. Statistics is way to finding the answer. Statistics – The Method of Organizing Data Generally, statistics is a set of disciplines to analyze quantitative information. Statistics entails all aspects of information: comprehending, collecting, communicating, organizing, and interpreting. All of these are the key reference for forecasting consequences or decision making. Thus, it permits us to estimate the extent of our errors. Purchasing a Business It is not an easy task or decision to purchase a business. Before the final decision is made there are many things to consider. To start with, what exactly do you want to achieve? For whatever reason, you must be sure that it is something that you are ready to devote a large amount of time and energy too. Otherwise, you might be trapped into doing something that you loathe. You must ask yourself how far you are ready to commit. How much of your own time, energy, and money are you willing to sacrifice? Finer Diner Sales Proposal The owner of the Finer Diner submitted a proposal to you in hopes of selling the business to you. His asking price is $250,000. Your financial institution advises that your monthly payment to finance that amount would be $1850.00. This is in addition to other business expenses you would incur such as product, payroll, etc. Upon......

Words: 1152 - Pages: 5

Free Essay

...mathematics and statistics recognizes a lack of predictability when referring to randomness, but admits regularities in the occurrences of events whose outcomes are not certain. For example, when throwing two dice and counting the total, we can say that a sum of 7 will randomly occur twice as often as 4. This view, where randomness simply refers to situations where the certainty of the outcome is at issue, applies to concepts of chance, probability, and information entropy. In these situations, randomness implies a measure of uncertainty, and notions of haphazardness are irrelevant. The fields of mathematics, probability, and statistics use formal definitions of randomness. In statistics, a random variable is an assignment of a numerical value to each possible outcome of an event space. This association facilitates the identification and the calculation of probabilities of the events. A random process is a sequence of random variables describing a process whose outcomes do not follow a deterministic pattern, but follow an evolution described by probability distributions. These and other constructs are extremely useful in probability theory. Randomness is often used in statistics to signify well-defined statistical properties. Monte Carlo methods, which rely on random input, are important techniques in science, as, for instance, in computational science.[2] Random selection is a method of selecting items (often called units) from a population where the probability of......

Words: 831 - Pages: 4

Premium Essay

...non-parametric inference tests are also described in the case where the data Sample distribution is not compatible with standard parameter distribution. Thirdly, using multiple resampling methods Computer -generated random sample finally introduced the characteristics of the distribution and estimate Statistical inference. The method of multivariate data processing of the following sections involved. method Clinical trials also briefly review process. Finally, the last section of statistical computer software discussion And through the collection of citations to adapt to different levels of expertise, and to guide readers theme. In this article, there are some methods such as descriptive statistic, probablity distruction, possion ditruction and multivariate methods. For the descriptive statistic, they are tabular, graphical and Numerical Methods basic characteristics of the sample It can be described. While these methods may be the same Used to describe the entire group, they more...

Words: 702 - Pages: 3

Premium Essay

...interpret and manipulate the coefficients of multiple regression and performance criteria; conduct diagnostic checking of the validity of regression equations coefficients; appreciate the problems of misspecification, multicollinearity, heteroscedasticity and autocorrelation. Content: 1. Simple Regression Analysis 2. Multiple Regression Analysis 3. Dummy Variables 4. Heteroscedasticity 5. Autocorrelation Main Textbook: Dougherty, C. (2011). Introduction to Econometrics, 4th edition, Oxford. 2. Module Name: Computational Finance Code: P12614 Credits: 10 Semester: Spring 2011/12 Programme classes: 12 1-2 hour lectures/workshops Aims: The module aims to describe and analyse the general finance topics and introduces students to implement basic computational approaches to financial problems using Microsoft Excel. It stresses the fundamentals of finance; provides students with a knowledge and understanding on the key finance subjects such as money market, return metric, portfolio modelling, asset pricing, etc.; and equips students with the essential techniques applied in financial calculations. Contents: 1. Lecture Topic 1: Money Market Instrument : Introduction to the course; Interest rate types;...

Words: 1425 - Pages: 6

Premium Essay

... | | | | | |FACULTY OF BUSINESS AND FINANCE (FBF) | Teaching Plan | |Unit Code & |UBEQ1123 QUANTITATIVE TECHNIQUES II | | |Unit Title: | | | |Course of Study: |Bachelor of Commerce (Hons) Accounting | | | |Bachelor of Business Administration (Hons) | | | |Bachelor of Business Administration (Hons) Banking and Finance | | | |Bachelor of Business Administration (Hons) Entrepreneurship | | | |Bachelor of......

Words: 1685 - Pages: 7

Premium Essay

...students to inculcate academic excellence in various fields of research and development, with special reference to business management. In addition it will provide necessary statistical knowledge and wide rage of ways to analyze data, which will improve the students statistical analytical and decision making skills. Session Lecture Outline Learning Objectives 01 Basic Probability and Discrete Probability Distributions Simple Probability To develop an understanding of basic probability concepts To introduce conditional probability To use Bayes’ Theorem to revise probabilities in light of new information To provide an understanding of the basic concepts of discrete probability distributions and their characteristics To develop the concept of mathematical expectation for a discrete random variable To introduce the covariance and illustrate its application in finance To present applications of the binomial distribution in business To present applications of the Poisson distribution in business 02 Counting Techniques 03 Continued 04 Conditional Probability 05 Discrete probability distribution. 06 Mathematical Expectation of Discrete Random Variable 07 Properties of mean and variance of a discrete random Variable. 08 Binomial Distribution. 09 Poisson Distribution. 10. The Normal Distribution and Sampling Distribution Introduction Mathematical Models of Continuous Random Variables To...

Words: 1396 - Pages: 6

Premium Essay

...maturity are considered from yahoo finance (2010) and they include Jefferson county bonds and Columbia Ballpark bonds. The following is a discussion on the appropriate decision to be made given that the firm wants to invest in bonds that will yield higher returns and also have lower risk levels, whereby the level of risk is indicated by bond rating. Research: Given that the firm wants to invest in five year municipal bonds and that it has to choose only one bond then information regarding al the three bonds were collected, yahoo finance contained information about bonds and after researching on the available five year bonds issued by Jefferson country (IMP)and Columbia Ballpark bonds had the highest yield to maturity value, the following is summary of the information retrieved: The Jefferson County (IMP) bond rating is CCC, YTM value is 9.465%, coupon rate is paid semi annually and the value is 5% and finally the price is $80.71. Columbia ballpark bond which is a 5 year bond and the rating of this bond is AA, YTM value is 3.766%, coupon rate is paid semi annually and the value is 5.00% and finally the price is $106.07. Ratings are important in that they provide information regarding the probability that the issuers of the bond will default, there are a number of organizations that rate bonds and they include S$P, Moody and Fitch, in this paper these ratings were retrieved from Moody (2009) website and the following table summarizes the probabilities that the different......

Words: 973 - Pages: 4

Premium Essay

...Non-linear functions – 1st and higher order derivatives, interpretations and usage. Rules of derivatives. h. Functions – Differentiation and Taylor Series Expansion i. Introduction to Partial Derivatives j. Introduction to Integral Calculus 2. Introduction to Bond Mathematics a. Finance and the Time Value of Money b. Concept of Zero Coupon (Discount) Bonds and Coupon Bonds. c. Bond Characteristics d. Bond Types – Fixed Rate, Floating Rate, Inverse Floater Rate, etc. e. Interest Rates – Discrete and Continuous Compounding f. Bond Pricing – using ZCYC or YTMC with discrete compounding or continuous compounding g. Difference between bond coupon rate and bond yield h. Calculating Bond Yield (YTM, CY, MMY, ZCY/Spot, Par Yield, etc.) i. Price Yield Relationship Introduction to Financial Statistics and Econometrics 1. Introduction to Financial Statistics a. Frequency distributions b. Measures of Central Tendency/Location (Mean/Mode/Median) c. Dispersion, Measures of Dispersion (Variance/SD/Quartiles/Percentiles/Ranges) and its relevance to Risk Management d. Correlations 2. Introduction to Probability Theory a. Random variables b. Probability and its uses c. Probability Rules d. Conditional Probabilities e. Probability Distributions (Single Variable) i. Continuous Time/Discreet Time; Continuous Value/ Discreet...

Words: 1406 - Pages: 6

Free Essay

...BA Business Management and BA Business Management with Industrial Experience YEAR 2 SESSION 2008/09 DECEMBER DIET C58QT QUANTITATIVE METHODS Date: December 2008 Time: 2 Hours EXAMINERS: INSTRUCTIONS TO CANDIDATES Answer THREE QUESTIONS from FOUR – Each Question is worth 20 marks NUMBER OF SECTIONS: 1 NUMBER OF PAGES: 5 (including Front Cover) TO BE SUPPLIED: Formula Sheet, Graph Paper, Statistical Tables Answer THREE questions. Each question is worth 20 marks Question 1 A finance company is concerned about the time that employees spend surfing the WWW. The company has taken a random sample of 40 employees and has automatically recorded the time each employee has spent surfing on the last Friday in March. The times (recorded in minutes) are summarised in the table below. |23 |11 |54 |35 |21 |15 |33 |13 | |17 |56 |12 |90 |5 |32 |15 |67 | |17 |12 |120 |34 |128 |5 |76 |34 | |130 |45 |67 |106 |19 |69 |37 |94 | |10 |25 |31 |57 |28 |100 |32 |80 | Table: surfing duration (minutes) on the last Friday in March for a random sample of 40 employees. (i) Calculate the......

Words: 813 - Pages: 4

Premium Essay

...Question 1 First year students marks of Managerial Statistics Marks – Managerial examinations 2010 Percentage Achieved | No of students | 0 >20 | 5 | 20 > 40 | 18 | 40 > 60 | 30 | 60 >80 | 20 | 80 > 100 | 4 | Total | 77 | 1 (a) Chart 1: Histogram of the Managerial Statistics marks obtained (b) Percentage Achieved | No of students | Less Cumulative | More cumulative | 0 >20 | 5 | 5 | 77 | 20 > 40 | 18 | 235 | 72 | 40 > 60 | 30 | 53 | 54 | 60 >80 | 20 | 73 | 24 | 80 > 100 | 4 | 77 | 4 | Total | 77 | | | (c) Percentage Achieved | No of students (f) | Mid (x) | fx | Cum <(f) | 0 >20 | 5 | 10 | 50 | 5 | 20 > 40 | 18 | 30 | 540 | 23 | 40 > 60 | 30 | 50 | 1500 | 53 | 60 >80 | 20 | 70 | 1400 | 73 | 80 > 100 | 4 | 90 | 360 | 77 | Total | 77 | | 3850 | | Arithmetic mean = ΣfX/Σf In this case the Arithmetic mean = 3850/77 = 50% average achievement ( mean). (d) Value of the median using grouped data Median = n/2 = Σf/2 = 77/2 = 38.5 The position of the median is : L + I [n/2 – c] F L=40 I = UL –LL = 60-40= 20 n = 77/2 =38.5 c = 23 F= 30 = 40+ 20 [38.5- 23]/30 = 40 +20 [15.5]/30 = 50,3% is the median score for Managerial Statistics. (e) M0 = L+I [ d ] d1+ d2 L = 40......

Words: 1599 - Pages: 7

Premium Essay

...OVERVIEW OF THE STATISTICS COMPONENT OF FINANCE (QUANTITATIVE TECHNIQUES) 203 Note: The ‘statistics’ component of the unit covers Topics 1, 2, 4, 5, 6, 7, 8, 10 and 11 only and will not cover all the concepts in these Topics. The following is an overview of what is required in each topic. You are recommended to do the quiz questions as shown and the tutorial questions. Week 1 (Descriptive Statistics) Concepts • Population vs. sample • Parameter vs. statistic and use of correct symbols • Types of data (nominal, ordinal, interval) • Displaying data: Nominal: Bar and pie charts Interval: Stem and leaf displays, histograms, ogives, box and whisker plots • Measures of central location (mean, median, mode) • Measures of dispersion/spread (standard deviation, variance) Do 1.7.3 Quiz Can attempt all 1.7.4 Topic Questions Week 2 (Sampling, Probability, Normal Distribution) Sampling Concepts • Types of sampling plans (simple random sampling, stratified random sampling, cluster sampling Probability Concepts • From a table of joint probabilities answer such questions as: P(A and B) P(A or B) P(A)|B Determine if events A and B are mutually exclusive or not Determine if events A and B are independent or not The Normal Distribution Question gives a population mean and population standard deviation for a normally distributed......

Words: 733 - Pages: 3

Premium Essay

...higher degree in Statistics. Because some useful statistics topic in my undergraduate education were either only brought up for a definition or not covered, besides the missing value imputation method, the graphical Markov models, fixed and random effects, and variance analysis are also some of the topics I wish to learn in my graduate study. Besides advanced statistical methodology, I am particularly motivated to develop the links between statistics and computer science, although I have made every effort in studying Statistic software, like SPSS, Eviews, and Clementine, and I use my spare time learning R and C language by myself, I think there is still long way to go. I plan to further improve my programming ability, especially the options and programming techniques I didn’t know before, like the combination of C++ and R will make the loop in R run faster. With the huge amounts of data collected in the worldwide everywhere in every second, the marriage of theories, the effective methodology of numerical analysis and computer science becomes more urgent and important than ever. I believe a good statistician need also be a good programmer. So a university that emphasize statistical methodology and statistical programming is perfect fit my goal. And I found the Master of Science with a Major in Applied Statistics in MSU is the one. I have built up a sufficient foundation in statistics knowledge during my undergrad study. The courses Calculus I&II, Probability, Linear......

Words: 557 - Pages: 3

Free Essay

...oday, the term "applied mathematics" is used in a broader sense. It includes the classical areas noted above as well as other areas that have become increasingly important in applications. Even fields such as number theory that are part of pure mathematics are now important in applications (such as cryptography), though they are not generally considered to be part of the field of applied mathematics per se. Sometimes, the term "applicable mathematics" is used to distinguish between the traditional applied mathematics that developed alongside physics and the many areas of mathematics that are applicable to real-world problems today. There is no consensus as to what the various branches of applied mathematics are. Such categorizations are made difficult by the way mathematics and science change over time, and also by the way universities organize departments, courses, and degrees. Many mathematicians distinguish between "applied mathematics," which is concerned with mathematical methods, and the "applications of mathematics" within science and engineering. A biologist using a population model and applying known mathematics would not be doingapplied mathematics, but rather using it; however, mathematical biologists have posed problems that have stimulated the growth of pure mathematics. Mathematicians such as Poincaré and Arnold deny the existence of "applied mathematics" and claim that there are only "applications of mathematics." Similarly, non-mathematicians blend applied......

Words: 1004 - Pages: 5