...A Comparative Analysis of Real Estate Companies in Bangladesh: A Study on Advanced Development Technologies Ltd and Other Leading Companies ©Daffodil International University Library Page i A Comparative Analysis of Real Estate Companies in Bangladesh: A Study on Advanced Development Technologies Ltd and Other Leading Companies Prepared For Mr. Mohammad Masum Iqbal Assistant Professor Department of Business Administration Daffodil International University Prepared by, S. M. Sourav Batch: 22th ID # 091-11-675 Major in Marketing Program: BBA Faculty of Business & Economics Daffodil International University Date of Submission: 15th December, 2012. ©Daffodil International University Library Page ii Daffodil international universit Letter of Transmittal 15th December, 2012. To, Mr. Mohammad Masum Iqbal Assistant Professor Department of Business Administration Faculty of Business & Economics Daffodil International University 102/1, Sukrabad, Dhanmondi, Dhaka-1207 Subject: Submission of Internship Report. Dear Sir, I would like to submit my internship report on “A Comparative Analysis of Real Estate Companies in Bangladesh: A Study on Advanced Development Technologies Ltd and Other Leading Companies” for partial fulfillment of BBA program with specialization in Marketing. Especially I have interned on Business Development. My appointment is commencing on 18th July, 2012 and finished 17th October, 2012. It has been a greet contentment for me to have the opportunity...
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...gathered will also display descriptive statistical data using graphic and tabular techniques. With all information gathered, this paper will discuss the best measures of central tendency and dispersion of all the statistical data collected. Purpose of the Research The purpose of the research is to show the current trends in the housing market. To own a home or business of which somebody can call their own is the American dream. American’s search far and wide to find the right home or business location that fits perfectly for their family’s or business needs. People looking for homes are constantly doing research on prices of homes, number of bedrooms, and number of Individuals looking for a place to establish their business must decide on which location works best for their new business. Real Estate agents use the same research to get the specific details of homes or office buildings so they can sell to possible clients. As research shows, knowing the cost of the property that is being purchased is a very important to any potential buyer. According to (Molony, 2012) the national median price for a single family home is $163,500. Without doing the proper research of property cost an individual could be over paying for a property. Full research on the location of properties can determine...
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...Real Estate Research Process RES 341 / Research and Evaluation 1 March 28, 2011 Professor Real Estate Research Process Introduction Every individual whether they are aware of it or not, base their decision-making on some form of statistical data. Simple everyday decisions are made through rationalizing a problem or opportunity, forming a hypothesis, analyzing information, and determining a decision based on the gathered information. For the purpose of practicality, Team A has chosen real estate market data gathered from the website for the Statistical Techniques in Business and Economics (2008) textbook to formulate and define a chosen problem, attempt to delineate the purpose of the research into the variables that affect the problem, propose a hypothesis and its research conduction, and briefly discuss the remaining steps in the research process the team will follow to complete the final project. Purpose of the Research According to Sekaran (2003), knowing the purpose of the research being conducted is the first step to understanding and defining the problem and reaching a hypothesis. Articles of clothing are usually priced for the quality of the material, the amount of material being used, and the perhaps the brand of the maker. However, this common-sense rule does not apply in real estate all of the time. The real estate market has always been an intricate web of real estate agents, negotiations, and many confusing rules. Buyers may wonder why a one-bedroom...
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...Report on Real Estate Financed by IDLC Finance LTD. Date of Submission: 11th April, 2015 Department of Finance University of Dhaka Submitted to Hussain Ahmed Enamul Huda Lecturer Department of Finance University of Dhaka Submitted by Group SL | Name | ID | Remarks | 1 | Sifat sadia | 17-003 | | 2 | Barna Paul | 17-047 | | 3 | Maghla Hossain | 17-061 | | 4 | Saima Sultana | 17-069 | | 5 | Nawsina Arif | 17-085 | | Date of Submission: 11th April, 2015 Department of Finance University of Dhaka Letter of Transmittal 11th April, 2015 Hussain Ahmed Enamul Huda Lecturer Department Of Finance University Of Dhaka Subject: Report on the Real Estate Financing of IDLC Finance Ltd. Dear Sir, It gives us enormous pleasure to submit the report on the Real Estate Financing of IDLC Finance Ltd as a part of our course named Real Estate Finance (course code F-410) as per the Advisor’s instruction. We expect this report to be informative as well as descriptive. Working with such a topic was an inspiring experience for us. We believe that the Knowledge and the experience we have gathered will facilitate us a lot in my future career life. With our limited knowledge, we have tried our level best to prepare the report worthwhile. Your acceptance and appreciation would surely inspire us. For any further explanations about the report, we will be gladly available to clarify the ins and outs. Sincerely Yours Sifat Sadia Id No: 17-003 On...
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...the housing market is not booming as it has in the past. To decide in which area to buy a house, one should first consider the different variables affecting the prices of these houses. The Express Estate Agency has recently identified five factors that generally affect housing prices: location, age, size and type, condition, and accessibility (Express Estate Agency). Though it is difficult to assess the quantitative impact on the value of a house caused by qualitative factors such as type, condition, and accessibility, these are important to keep in mind as well as the factors presented in this study. Generally, when one thinks of houses, the more square feet of area the house covers, the more expensive it becomes; this is also true for many other purchasable objects in America. When looking for both large and small houses, the number of bedrooms and bathrooms is an additional characteristic of each house to be considered, as the more bedrooms and bathrooms a house has, the more expensive the house is perceived to be, according to the United Kingdom branch of Nationwide (Nationwide). Another characteristic commonly linked to a house's perceived value is the age of the house; houses that are very new are often perceived as being more expensive than those that are both slightly older and substantially older (Express Estate Agency). One variable involved in the process of buying a house taken into consideration is the part of town in which the house is located. The impact of location...
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...SMOR's Real Estate Dr. Yenumula SMOR's Real Estate Real estate is an active interest of mine that I decided to pursue as a career. This is a hard business to start. I am deciding whether to open my own firm or buy into an established firm. The Raleigh/Durham North Carolina, area appears to be rebounding from the recession in the housing market. The Raleigh/Durham area was listed as one of the best places to live. This has attracted people and companies. Many companies have made Raleigh/Durham their company headquarters. Some examples are Progress Energy, Red Hat, LORD Corporation, and Bayer Crop Science. Making an area a corporate headquarters causes an influx of upper level jobs. These jobs have higher salaries. Many of the positions are filled by internal candidates around the company which usually includes a relocation package. After employees arrive they will look for housing first. Many people are purchasing below what they qualify for, so focusing on the mean housing price is a good strategy to begin with, when starting a real estate business in the Raleigh/Durham (RDA) area. To determine if I should start my own business or buy into an established firm I should take a survey first. The survey should consist of questions concerning using a new real estate firm vs. a firm with a long history, firm with a more personal touch, average family income, school age children, commute to work distance, maximum purchase price of house, purchase time frame, and housing...
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...TRAINING REPORT ON “Growth of Real Estate Sector with in 5years” A case of Corporate Real Estate Solutions Submitted to MAHARSHI DAYANAD UNIVERSITY, ROHTAK In partial fulfillment of the requirements For the award of the degree of MASTER OF BUSINESS ADMINISTRATION (INDUSTRY INTEGRATED) (II SEMESTER) Submitted by: Name: Alok Kumar Upadhayay Regn. No. Roll.No. DAV INSTITUTE OF MANAGEMENT (ELC CODE: 080923013) NH-3, NIT, FARIDABAD. JULY 2011 DECLARATION I hereby declare that the Training Report conducted at Corporate Real Estate Solutions,Delhi. Under the guidance of (Ms. Aakrity) Submitted in Partial fulfillment of the requirements for the Degree of MASTER OF BUSINESS ADMINISTRATION (Industry Integrated) TO MAHARSHI DAYANAND UNIVERSITY, ROHTAK is my original work and the same has not been submitted for the award of any other Degree /diploma /fellowship or other similar titles or prizes. Place: Date: Alok Kumar Upadhayay Regn.No: Roll No. 2 ACKNOWLEDGEMENT First and foremost, I extend my deepest thanks to my mentor and guide Mr. Vishal Srivastava, Director – Corporate Real Estate Solutions, for giving me this opportunity to work in such a prestigious organization as well as for giving me a wonderful thesis. Without his constant guidance and feedback, I would have never been able to complete the training, I did. I am thankful to Ms. Aakrity, whose consistent support and cooperation showed the way towards the successful completion of the thesis...
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...Regression Analysis Team A has determined to execute a linear regression analysis, an equation that states the linear association linking two variables, to conclude if home prices are established on distance (Doane & Seward, 2007). The computation and tests are founded on the real estate data table provided by Lind, Marchal, & Wathen, (2008). The global opinion of the Team A is that the distance to the city center determines the price of the home. h: Distance establishes price h: Distance does not establish price for any regression analysis there ought to be two variables, a dependent (price) and an independent (distance). With the intention of measuring the strength and direction of correlation, one would use a regression equation (Doane, 2007). According to the least squares standard, the equation for this is Y = a + bX. Y is the forecasted Y value, (a) is the y-intercept, and b is the slope of the line. Team A will be employing the data in the Data Set for the research: With the aim of interpreting, the data of two variables must be recognized (1) coefficient of correlation (R) and (2) coefficient of determination (R2). The square root of R2 is clearly r, which is the correlation coefficient (Orris, 2007 p211). Coefficient of the correlation will be a number between 0 and 1. The nearer the number is to 1.00, the stronger the correlation, and the farther the number is to 0.00, the lower the correlation. Given that the square root, r can also be a value as low as -1.00...
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...Jeans maker backs push on ethical factories * Jeans maker launches push on ethical factories * Rana Plaza collapse one year on * Death sentences deepen Bangladesh political hostility IN International Property * Cape Town — return of the trophy hunters * Bund and beyond — Shanghai’s riverfront market * Rise of London’s superhomes * Strong housing market puts Atlanta in a new light Sign up now FirstFT is our new essential daily email briefing of the best stories from across the web “If you brought a property in Dhanmondi [one of the most affluent residential areas in Dhaka] for 6.45m taka [$83,000] in 2005, that would have increased five or six times by now,” says Kazi Inam Ahmed, owner of Gemcon City, a new estate agency. In fact, Goldman Sachs has placed Bangladesh in the “next 11’” category after the Bric countries and its “Mint” (Mexico, Indonesia, Nigeria and Turkey) group as an emerging economy. Furthermore, from out of its bewildering, densely packed capital, properties are now starting to emerge that can match such aspirations. In the north of the city, modern blocks that would not look out of place in Hong Kong or Singapore surge upwards from 1980s-era family houses, long considered obsolete, where residents were once able to have gardens. In Navana Karatoya, an apartment block in the upmarket Baridarah area, Muhammad Miah, a plumber, installs a remote-controlled toilet in a property overlooking Gulshan...
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... |Kamaleshwaran S- EEPSM-04-020 | | |Hena Damodaran - EEPSM -04- 015 | | |Jupudi Venkata Narasimha Rao –EEPSM-04-018 | | |Jaspreet Kaur Rekhi – EEPSM-04-016 | Objective: The objective of this project is to examine, find out the relationship between market structure and performance in the banking (NIC Code 6491) and real estate (RE) (NIC Code 6810) sectors using data from the Commercial Banks and RE firms operating in India before the world financial crisis (started in 2008), during the financial crisis, recovery period and beyond. The project would be beneficial for stakeholders /...
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...researched the issues that have been affecting the real estate business; such as home prices in which are making it difficult for homes to sale. The current issues that are affecting the housing market in today’s society have to do with homes being over priced due to size, location, and square footage. In the past weeks Learning Team C had to research the problems in the housing market to determine the reasons why homes that are similar in size tend to be more expensive than others and the factors that go into these prices. The research problem that Learning Team C encountered has to do with looking at: 1. Price, 2. Bedrooms, 3. Size, 4. Pool, 5. Distance, 6. Township, 7. Garage, and 8. Baths, to determine why some of the listed homes are more expensive than others homes in the area. In week three we turned the research over to researching peer-reviewed articles to get an even clearer picture of the whole aspect of real estate, which included; faulty work from appraisers, estimating value of homes, and how size play a major role in the price of a home. Moving on into week four, Learning Team C will evaluate all the data from the previous weeks and draw a conclusion based on all current research finding of why similar homes tend to be more expensive than others. Frequency Distribution The following graphics and data analysis will identify the factors important to buyers that may provide answers to why size, distance, bedrooms, garage size, and township are the most popular. The...
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...Dissertation on the Real Estate Sector of Mumbai and the Indian Middle Class Abstract The global financial meltdown had hit the real estate sector all around the globe, and Mumbai real estate sector is one such amongst them. The specific segment is plagued by reduction of demands, lowering of prices, inventory accumulation etc. In order to maintain their sustenance, they now want to target the middle class segment of the society. The entire purpose of this dissertation was to identify in the present economic conditions of the country, the target customer for such real estate sector. In order to conduct the research, a mixed research methodology is adopted deploying both qualitative research as well as quantitative research. Relevant research instruments were chosen, and 10 respondents were interviewed for the qualitative research and 300 individuals were undertaken in the quantitative research methodology. It was found that indeed the middle class with their high aspiration levels, and disposable income were the ideal target for real estate. However, in order to further attract the target customers, a host of suggestions are made. This dissertation is created through thorough referencing from academic journals, books, reports, newspaper articles etc. This paper would also be immensely helpful for students aiming to understand a clear picture of the real estate sector of Mumbai on ways to maintain its growth. Table of Contents Abstract 2 Introduction 5 Background...
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...Multiple Regression Model | Case # 28 House Prices | | A group of statistic student’s objective is to provide a business solution using statistical calculations and tools on a sample data. | | Upaiwan Porndumrongkit Ana Sanchez George Satiah Kritchapon Sopawatjirarich | 10/16/2010 | Executive Summary Summary: Home owners want to determine a reasonable asking price of a house based on a collection of home descriptions and its characteristics. However, home owners can get confused very easily as they see close variation in price based on different descriptive characteristics. Home owners hesitate to get professional advice from real estate agents due to service price. On the other hand, our Multi Regression Model can help real estate agents provide fast predictions and advice to home owners at a minimum service price. Our solution would give real estate agents a competitive advantage in the real estate market. Problem statement: How to determine a reasonable asking price on n number of houses with its descriptive characteristics. Solution: Multi Regression Model is one way to assist real estate agents use data to provide an estimate. Introduction The objective of this project is to provide the detailed data analysis and resolution to the problem statement mentioned above. As a group...
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...[Type the company name] | Belize Real Estate Solutions | Start-up real estate company | Adonis, Asher 10/28/2015 | Legal Page Confidentiality Agreement The undersigned reader acknowledges that the information provided by Group 4 in this business plan is confidential; therefore, reader agrees not to disclose it without the express written permission of Belize Real Estate Solutions. It is acknowledged by reader that information to be furnished in this business plan is in all respects confidential in nature, other than information which is in the public domain through other means and that any disclosure or use of same by reader may cause serious harm or damage to Belize Real Estate Solutions. Upon request, this document is to be immediately returned to Group 4. ___________________ Signature Group 4 Name (typed or printed) 10/28/2015 Date This is a business plan. It does not imply an offering of securities. 1.0 Executive Summary 1 1.1 Mission 2 Chart: Highlights 2 1.2 Keys to Success 2 1.3 Objectives 3 2.0 Company Summary 3 2.1 Company Ownership 3 2.2 Start-up Summary 3 Table: Start-up 4 Table: Start-up Funding 4 Chart: Start-up 5 3.0 Services 5 4.0 Market Analysis Summary 6 4.1 Market Segmentation 7 Table: Market Analysis 7 Chart: Market Analysis (Pie) 7 4.2 Service Business Analysis 8 4.2.1 Competition and Buying Patterns 8 5.0 Strategy and Implementation Summary 9 5.1 Sales Strategy 9 ...
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...REAL ESTATE DATA Team E QRB 501 May 5, 2011 Larry Oslund REAL ESTATE DATA SET Real estate investment can be risky if the buyers are not aware of the different types of houses structures ranging from commercial, residential, apartment complex, single houses, or duplex. Moreover, the attributes of how many beds/baths, the proximity from the main city and freeways, and the area they located are crucial factors in the buying decision. Based 105 houses being surveyed, we can determine their pricing values according to the given variables: size, distance from the city, bedrooms, township, pool, baths, and garage. Variable Analysis PRICE ROBERT’S please attach what we came up with in class. See Appendix A GARAGE Based on the given data set, we can say that most houses being surveyed have at least one garage. 31% of the houses have no garages and 71% have 1 garage. The maximum of garage a house can have is one and the minimum is none. See Appendix H DISTANCE Distance from the center of the city to each of the 105 houses was measured in miles and had a range from a minimum of six miles to a maximum of 28 miles. The average distance was fifteen miles and the most common distance was sixteen miles from the center of the city and 85% of the 105 houses were within twenty miles of the city center. Although not true for every property, in general, the properties farther away from the city tend to be priced less than the properties closer...
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