The problem this study addressed was the determination of those real estate tasks perceived to be most essential by successful residential salespersons (defined as the recipients for the past five years of the Salesperson of the Year award, (or, designation) and in some cases, Realtor Associate of the Year designation awarded annually by some local Texas boards of realtors). Out of 116 local boards of REALTORS listed in the 19781979 Texas membership directory, twenty-eight awarded the Salesperson of the Year designation. During the years 1973 through 1977, ninety-five individuals received the award. Of these sixty-nine returned usable questionnaires for the study. The final list of task statements ranked by the participants in the study were selected by a panel composed of Advisory Council members from post-secondary institutions offering real estate programs, and chairpersons of education committees from local boards of realtors.

This master’s thesis deals with a business plan proposal formation. Subject of this proposal is establishment of a new company for real estate, focusing primarily on students and provides a virtual 3D tour. The thesis is composed of theoretical and analytical parts and actual proposal solution. This part covers the respective business plan.

Includes bibliographical references. / The essential purpose of this study is to assess the effect of action by the State, both legislative and judicial, on the value and utilisation of land and buildings; it does not set out to provide a general statement on the principles of land economics. The boundaries of the subject matter have been established by problems arising in the professional practice of a property economist in South Africa, rather than on any a priori basis. The title "Economic and Legal Aspects of Real Estate with particular reference to South Africa", may imply a broader examination than has in fact been made. At the outset therefore it must be stated that there are other matters which might well have been embraced by such a title, but which were not objectives of this study - for example the policy of successive governments towards the utilisation of land by Non-Whites.

A research Report submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, in partial fulfilment of the requirements for the degree of Master of Science in Property Development and Management, September 2018 / Corporate real estate is required by firms to operate business and this can either be owned or leased. Either option requires substantial amounts of money. Despite this fact most studies conducted have focussed on tangible corporate assets in general and not corporate real estate in particular, the reason put forward being that this asset type has diverse intangible aspects which makes the own or lease equation a complex one. South Africa is the second largest economy on the continent and has a real estate market rivalling that of European countries by size; these facts are reason enough to support investigating the real estate market in detail. Gauteng Province accounts for 34.4% of the country’s GDP and 23% of this is from the industrial sector. This study, which is based on a 2011 UK study by Barkham and Park, sought to establish whether non-financial factors play a key role in the decision to own or lease industrial real estate in Gauteng Province. The study used an empirical approach using Thematic Network analysis to explore the non-financial determinants of owning or leasing industrial real estate from data obtained from 4 firms. Findings reveal that both financial and non-financial determinants are considered in the LVB decision for industrial CRE in Gauteng. Ranking of these factors showed that 3 of the four respondents ranked the non-financial ones first followed by some financial ones. It is suggested that further research be conducted to cover a larger population i.e. industrial firms in the major cities with a large industrial presence country wide. Additionally one which includes different firm sizes and a mixed method for data collection and analysis. / XL2019

Fastighetsmäklare målas ofta upp som ett yrke där man med lite ansträngning kan tjäna miljonbelopp. För att ha möjlighet att bli registrerad mäklare måste man dels ha läst 120 högskolepoäng gjort 10 veckors handledd praktik, dels möta krav som Fastighetsmäklarinspektionen (FMI) ställer och kontrollerar. Syftet med denna studie är att undersöka hur stor fastighetsmäklares inkomst är samt vad det ärsom påverkar lönen. Vidare görs även en undersökning kring hur mäklarna själva ser på sinlön och hur den står sig i relation till andra yrken. Studien består av en kvalitativ undersökning där sex fastighetsmäklare ingående har redovisat sin lön och arbetade timmar under det första kvartalet år 2022. Vidare har fyra av dessa mäklare intervjuats för att få en mer djupgående förståelse kring hur inkomsten är utformad samt mäklarnas individuella tankar om deras enskilda lön. Studien visar på att skickliga mäklare kan tjäna väldigt mycket pengar, men för att lyckas med detta är etablering och kompetens i branschen ett måste. Ständig uppkoppling samt arbete på obekväma arbetstider visade sig också vara faktorer som påverkade inkomsten positivt.  De mäklare som ställt upp i studien är alla etablerade mäklare som arbetat sig in i branschen vilket resulterat i relativt höga löner för samtliga. Slutligen visade studiens resultat att inkomsten hos de intervjuade fastighetsmäklarna anses normal i relation till de arbete som läggs ner. Ställs inkomsten i relation till utbildningslängden på 3 år samt i jämförelse mot andra välavlönade yrke har de däremot en hög inkomst. / Real estate agent is often portrayed as a profession where you can earn millions with little effort.In order to have the opportunity to become a registered broker, you must have read 120 education credits, done 10 weeks of supervised practice and meet the requirements set and controlled by the Real Estate Agency Inspection (FMI). The purpose of this study is to investigate how big real estate agents income is and what affects the salary. Furthermore, a survey is also carried out about how the brokers themselves view theirsalary and how it compares to other professions. The study consists of a qualitative survey in which six real estate agents have reported in detail their salary and hours worked during the first quarter of 2022. Furthermore, four of these agents have been interviewed to gain a more in-depth understanding of how the income is structured as well as the agent's individual thoughts about their individual salary. The study shows that skilled brokers can earn a lot of money, but to succeed in this, establishment and competence in the industry is a must. Constant availability and working inconvenient hours also proved to be factors that positively affected the income.  The brokers who participated in the study are all established brokers who worked their way into the industry, which resulted in relatively high salaries for all of them. Finally, the results of the study showed that the income of the interviewed real estate agents is considered normal in relation to the work they put in. If the income is put in relation to the length of education of 3 years and in comparison to other well-paid professions, they do have a high income.

Few areas of research in the finance literature have received greater attention than the efficient market hypothesis. Much of the research has been directed toward the securities market while very little research has been done in the real estate markets. The existing research on real estate market efficiency has been either descriptive or illustrative with very little empirical testing being performed. The major reason for the lack of empirical testing has been the inability to develop an adequate data base. The results of the empirical work that has been done do not support the widely held belief that real estate markets are inefficient. This study, using the autoregressive-integrative-moving average (ARIMA) time series analysis technique, tests the weak-form efficiency of the Dallas-Fort Worth office properties real estate market. According to the weak-form efficient market hypothesis, all price information should be capitalized into current real estate prices and not provide the basis for earning abnormal returns in trading. Price data formed from office building sales dating from January, 1979 to January, 1985 are used to test the market. The data was gathered from the files of several professional appraisal firms located in the Dallas-Fort Worth area. The transaction information includes (1) transaction price; (2) location of the property; (3) net rentable area; (4) gross income multiplier (GIM); (5) net income multiplier (NIM); and (6) net operating income. The results of the study indicate a lack of significant autocorrelation. This suggests that the Dallas-Fort Worth office properties real estate market is weak-form efficient. As further evidence of weak-form market efficiency, ARIMA models are estimated to predict future sales prices but they are unable to outperform a simple mean series forecast. The results indicate that a change in traditional real estate theory concerning market efficiency may be warranted.

by Chan Cho-mun, Eddie. / Bibliography: leaves 40-41 / Thesis (M.B.A.)--Chinese University of Hong Kong, 1984

So Lam. / Abstract also in Chinese / Bibliography : leaves 67-69 / Thesis (M.B.A.)--Chinese University of Hong Kong, 1982

by Tong See Wai. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2000. / Includes bibliographical references (leaves 78-80). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgements --- p.iii / Table of Contents --- p.iv / List of Tables --- p.vii / List of Figures --- p.viii / Chapter 1. --- Introduction --- p.1 / Chapter 2. --- Background and Data --- p.5 / Chapter 2.1 --- Linkage between Hong Kong's real estate market and stock market --- p.5 / Chapter 2.2 --- Review of Hong Kong mortgage lending policy --- p.6 / Chapter 2.3 --- Corporate Profiles --- p.7 / Chapter 2.3.1 --- Cheung Kong (Holdings) Limited --- p.7 / Chapter 2.3.2 --- Hang Lung Development Company Limited --- p.7 / Chapter 2.3.3 --- Henderson Land Development Company Limited --- p.8 / Chapter 2.3.4 --- New World Development Company Limited --- p.8 / Chapter 2.3.5 --- Sino Land Company Limited --- p.8 / Chapter 2.3.6 --- Sun Hung Kai Properties Limited --- p.9 / Chapter 2.3.7 --- Swire Pacific Limited --- p.9 / Chapter 2.4 --- Sources of Data --- p.10 / Chapter 3. --- Literature Review --- p.12 / Chapter 4. --- Methodology --- p.17 / Chapter 4.1 --- Nominal Rate of Capital Gain --- p.17 / Chapter 4.2 --- Internal Rate of Return --- p.19 / Chapter 5. --- Results --- p.25 / Chapter 5.1 --- Empirical Findings --- p.25 / Chapter 5.1.1 --- Results from Aggregate Data --- p.25 / Correlations of Returns --- p.26 / Average Rate of Capital Gain --- p.26 / Chapter 5.1.2 --- Results from Disaggregated Data --- p.27 / Graphs --- p.27 / Correlations of Returns --- p.28 / Property Developers --- p.28 / Housing Estates --- p.28 / Testing the Significance of Correlation --- p.29 / Cross Correlation Matrix on Stock --- p.30 / Regression --- p.30 / Average Returns on Housing and Stock --- p.31 / Unleverage --- p.31 / Leverage --- p.31 / Comparison of the Average Unleveraged Return with the Average Leveraged Return --- p.31 / Housing --- p.31 / Stock --- p.32 / Comparison of the Average Return calculated from Aggregate Data with that calculated from Disaggregated Data --- p.32 / Housing --- p.32 / Stock --- p.33 / Chapter 5.2 --- Discussion --- p.33 / Chapter 5.2.1 --- Correlation of Returns --- p.33 / Chapter 5.2.2 --- Average Return --- p.35 / Chapter 5.2.3 --- Hedging --- p.39 / Chapter 6. --- Conclusion --- p.40 / Tables --- p.41 / Figures --- p.58 / References --- p.78

by Hui Leung Kwong, Kwok Kin Keung. / Includes questionnaire. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1998. / Includes bibliographical references (leaf 64). / Chapter I --- INTRODUCTION --- p.1 / Objective --- p.1 / Hong Kong Property Market --- p.1 / Chapter II --- HONG KONG PROPERTY AGENCY MARKET --- p.5 / General --- p.5 / Government Regulations --- p.6 / Definition and Business of Property Agents --- p.6 / Functions of Property Agents in Hong Kong --- p.7 / Size of Property Agency Market --- p.8 / Structure of Agency Market --- p.8 / Chapter III --- STUDY METHODOLOGY --- p.13 / Chapter IV --- ANALYSIS OF THE SURVEY RESULTS --- p.15 / Objectives of the Questionnaire Survey --- p.15 / Results and Analysis of the Survey --- p.17 / Conclusions and Implications of the Survey --- p.32 / Chapter V --- ANALYSIS OF PROPERTY AGENCY INDUSTRY --- p.34 / Macroenvironment --- p.34 / Task Environment --- p.37 / Chapter VI --- ANALYSIS OF THE EXISTING AGENCY BUSINESS --- p.40 / Advantages of the Conventional Agency Business Mode --- p.40 / Disadvantages of the Existing Business Operational Mode --- p.41 / Chapter VII --- THE NEW BUSINESS --- p.45 / Opportunities --- p.45 / Business Nature --- p.46 / Chapter VIII --- TENTATIVE BUSINESS PLAN --- p.52 / Pricing --- p.52 / Forecast of Business --- p.54 / Proposed Management Structure and Human Resources Plan --- p.57 / "Projected Statement of Profit and Loss, Cash Flow Statement and Financial Ratios" --- p.61 / Chapter IX --- CONCLUSIONS --- p.62 / APPENDICES / Chapter 1 --- Questionnaire / Chapter 2 --- Questionnaire Results / Chapter 3 --- Projected Profit and Loss / Chapter 4 --- Projected Cash Flow / Chapter 5 --- HR Plan / BIBLIOGRAPHY