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Request permission to reuse content from this site. Undetected location. Customer reviews. How are ratings calculated? Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzes reviews to verify trustworthiness. Top reviews Most recent Top reviews. Top reviews from the United States. There was a problem filtering reviews right now.
Please try again later. Verified Purchase. I decided to write a review when I saw only 2 reviews, one for 1-star and one for 5-stars. I thought it would be a shame if people decided against this book due to the reviews. It's really an excellent book. Is it hard to understand? Not necessarily, but if you have no background in financial analysis you might have to re-read some.
But that doesn't mean it's only for brainiacs - if it were, I'd be out of luck. I haven't begun investing, but think this book is a great place to start. This is one of the books worthy of keeping as a reference, not a rah-rah you can do it if you follow my advice kind of thing.
The way I look at it, you have a lot more to lose by making an investment mistake than by buying a book you may or may not think is great. Even if you just learn a little, you may wind up saving a lot. The housing crash should tell us all that there is risk in real estate.
BTW, I have no affiliation to the authors, publishers, or really much of anything. But if you're serious about investing, I'd give this book shot. Good book. One person found this helpful. Comparably Cheap. This book provides an excellent analytical framework for the cost. The CD makes it an interactive course too. Good value! Great price for a needed textbook. PROTIP: most textbooks barely change from edition to edition, so do a Google search of their table of contents, and if they match what you need compared to the syllabus, buy the previous edition and save!
Even though there's an 8th edition, the professor in my FIN class said this would still work for our needs. The book covers most basics in commercial real estate investment, however it could use some more real life cases with hands on underwriting analyses. The info maybe outdated, but it is still a good book about real estate investing.
See all reviews. Top reviews from other countries. A good quality book on investment risks in property. Need a bit of good maths to understand it. Comes with a CD course disc which tests your understanding. Report abuse. Delivery was ahead of schedule - item was as specified. What other items do customers buy after viewing this item? Pages with related products.
Top reviews Most recent Top reviews. Top reviews from the United States. There was a problem filtering reviews right now. Please try again later. Verified Purchase. I decided to write a review when I saw only 2 reviews, one for 1-star and one for 5-stars. I thought it would be a shame if people decided against this book due to the reviews.
It's really an excellent book. Is it hard to understand? Not necessarily, but if you have no background in financial analysis you might have to re-read some. But that doesn't mean it's only for brainiacs - if it were, I'd be out of luck. I haven't begun investing, but think this book is a great place to start.
This is one of the books worthy of keeping as a reference, not a rah-rah you can do it if you follow my advice kind of thing. The way I look at it, you have a lot more to lose by making an investment mistake than by buying a book you may or may not think is great. Even if you just learn a little, you may wind up saving a lot. The housing crash should tell us all that there is risk in real estate.
BTW, I have no affiliation to the authors, publishers, or really much of anything. But if you're serious about investing, I'd give this book shot. Good book. One person found this helpful. Comparably Cheap. This book provides an excellent analytical framework for the cost. The CD makes it an interactive course too. Good value! Great price for a needed textbook.
PROTIP: most textbooks barely change from edition to edition, so do a Google search of their table of contents, and if they match what you need compared to the syllabus, buy the previous edition and save! Even though there's an 8th edition, the professor in my FIN class said this would still work for our needs.
The book covers most basics in commercial real estate investment, however it could use some more real life cases with hands on underwriting analyses. The info maybe outdated, but it is still a good book about real estate investing. See all reviews. Top reviews from other countries. A good quality book on investment risks in property. Need a bit of good maths to understand it. Comes with a CD course disc which tests your understanding.
Report abuse. Delivery was ahead of schedule - item was as specified. What other items do customers buy after viewing this item? Pages with related products. See and discover other items: investment banking. There's a problem loading this menu right now. Learn more about Amazon Prime. Get free delivery with Amazon Prime. There are eight parts in the book, each followed by case problems that involve the use of concepts presented in the previous chapters. Part One contains an overview of basic concepts needed for investment analysis and Part Two relates this foundation to investors' expectations.
In Part Three, the authors discuss financial markets, arrangements, and procedures, and income tax considerations are addressed in Part Four. Part Five shows how to apply decision criteria to the forecasting students learn in Part One through Part Four, and in Part Six, the risk element is introduced. Once the entire real estate investment process has been covered, students can complete actual investment analysis problems in Part Seven.
In contrast asset management focuses more on the management of the individual assets, meaning it focuses on decisions relating to a property such as the refurbishment, improvements and disposals. This operation also focuses on performance analysis, pricing and marketing of properties. Generally speaking the objective of real estate asset management REAM is the successful application of the predefined strategy of the portfolio level Fuerst, Dubben and Sayce state that property management deals with the day to day management of properties.
The property manager acts on the behalf of the landlord and has certain tasks to fulfil which can include rent collection, lease management and arranging maintenance and repair works. To distinguish this activity from asset management, the property manager generally does not consider the performance return of the property. One of the first things to do in portfolio management is to set out objectives.
These can be either in accordance with company regulations liquidity requirements, etc. These preferences focus on variables like return, risk and liquidity. Time is a very relevant factor in regard to all three variables and the relation between these objectives must be analysed.
Generally the variables risk and return follow the same trend, by taking a higher risk the investor expects a higher return. Conversely, liquidity and risk follow contrary paths since the higher liquidity of an asset can contribute towards a lower risk. The time frame of an investment must also be considered.
On a long-term basis the investor may be looking for a safe low return and low volatility investment. However, the investor may also opt for a riskier investment over a shorter time period. Since portfolio management has a variety of different approaches, some definitions should be established. Stier concludes that it should be distinguished between portfolio construction, portfolio planning and portfolio policy.
In context to portfolio construction the bottom up approach and the top down approach must be mentioned. The bottom up approach is adopted to analyse an existing real estate portfolio. Generally the approach examines how the portfolio can be positively restructured. Fuerst mentions that it is very unrealistic to restructure historically grown portfolios according to a benchmark. The main reasons behind that statement are the characteristics of the asset real estate, mainly due to the lot size, illiquidity and transaction costs, making it very difficult to match a benchmark.
On the other hand the top down approach is only applied when constructing a new portfolio on the basis of stochastic calculations. Since most investors already have an existing real estate portfolio the bottom up approach is more relevant in practice.
Whilst talking about portfolio policy, one must be aware of the difference between the active and the passive approach. Wellner highlights that the passive approach is based on the idea that the market is efficient. This means that an individual investor generally will not be able to beat the market in the long run. This implies a buy and hold strategy which can generate appreciations through inflation and positive market trends.
The active approach is based upon the opposite view which is that a good active management policy must be able to beat the market. Before Harry M. Markowitz introduced his mathematical approach in it was commonly known that investors can benefit from naive diversification Markowitz, Hoesli and McGregor notice that main feature of the Markowitz portfolio theory MPT theory is that investors can increase their expected utility risk and return by applying statistical diversification.
Through having the right proportion of each asset in a portfolio it is possible to exclude all suboptimal risk and return combinations. This process of increasing the utility level is possible in the following two ways:. In order to get such proportions of optimal asset weightings, the first thing to ascertain is to compute the expected risk and return of each asset. Further on it is to examine how each of the assets correlates to each other.
Finally, through the application of Langrange multipliers it is possible to solve the optimization problem Amu and Millegard, The result can be highlighted as the efficient frontier, which includes all optimal sets of portfolio combinations. It is obvious that fund managers need to find optimal asset combinations for the future and not for the past. On this subject, Sharpe noticed that the MPT is most useful for standard deviation and correlation analysis but relatively useless for expectation of returns Hoesli and McGregor, Lee and Stevenson identify that possible results of optimal allocations might have extreme allocation results which are for a portfolio manager difficult to follow.
Also since these extreme allocations result from past data, the requested diversification effect can be diminished, since time can change the optimal allocation easily. Discussing the theoretical framework it is obvious that this model is restricted to various assumptions which are not applicable in real life.
For example, the framework does not allow hedging vehicles like lending, borrowing and short sales which are generally good practices in portfolio management. The following issues are particularly relevant to real estate investments but some of them might be also valid in general.
First, the theory does not incorporate any transaction costs. In regard to stocks these costs might be negligible but the transaction costs in real estate are considerably higher. In this context, another problem is the illiquidity of real estate assets. The MPT theory assumes liquid assets, since this model was first developed for the stock market. The real estate market is a relatively illiquid market and it takes time and money to sell real estate assets.
This theory examines the rate of return of an individual asset in regard to the market risk Beta. The theory introduced the concept of the security market line SML , which should give evidence how the market would price a single asset in relation to the return and the systematic risk. Hence, this model verifies the important input parameter return for the MPT theory. With regard to the CAPM it must be said that this method can be used for the estimation of discount rates.
Here, one must point out that since not all real estate investors are public traded companies it will not always be possible to find an appropriate beta figure. Baum notices that the beta factor generally implies the risk of the past for the estimation of future returns. In the general real estate practice they mostly rely on the estimation of discount rates from empirical surveys.
Another important issue on this topic is the general availability of data about time and quality. In respect to individual real estate assets it is very difficult to forecast appropriate inputs. General benchmark indices like the IPD all property index are appraisal based, so therefore this data cannot be evaluated as market evidence. All these factors indicate that the general portfolio theory can possibly give good advice on asset allocation for a mixed asset portfolio.
It is possible to estimate what proportion of the investment budget should be allocated to real estate, so that diversification benefits can be applied. These theories are not devised for real estate investments and they offer little benefit for asset allocations on the real estate level.
However, the real estate practice has several practical techniques to analyse whether an investment is preferable or not. The following part will give a brief overview of the most relevant practical decision techniques. The following section will give, in contrast to the previous theoretical models, an overview of the most relevant practical normative decision models.
The return on investment ROI is a static metric which is commonly used because of its simplicity and comparability. As equation 1 illustrates, it divides the net benefit of an investment with the costs of an investment. As illustrated, the ratio is also defined as Earnings before Interest and Taxes divided by total assets:.
This method can be used for the fast and approximate evaluation of an investment. Nonetheless, this method does not take compound interest and the time value of money into account. One of the most important factors in a property is the underlying cash flow.
Generally speaking the discounted cash flow approach DCF model can value the cash flow over time and can estimate what value the property has currently. As Geltner et al. The following formula exhibits the NPV formula:. Whilst using this formula it must be highlighted that the exit value of the potential sale of the property must be incorporated into the cash flow.
In order to estimate the NPV various data must be incorporated accurately into the model, particularly the discount rate required rate of return , which is crucial for the estimation of the NPV. It must be pointed out that many input parameters rent, discount rate, exit yield, etc. Generally speaking it can be concluded that if the DCF has a positive NPV it can be evaluated as a lucrative investment. The different investment properties should be compared and the one with the highest NPV should be preferred only in regard to this criterion.
This rule is only applicable if the capital outlay of each of property is the same. The investor also has the option of adjusting the DCF parameters in order to make the results comparable. However, by using the net cash flow it is possible to estimate the internal rate of return IRR. The following section will highlight the advantages of the IRR as a return figure. In comparison to the previous mentioned return figure ROI , the IRR has the ability to take the time value of money into account.
Therefore, the NPV equation is equalled to zero in order to solve the rate of return r by using an iterative technique:. Although the IRR has some conceptual drawbacks such as the liability to the number of sign changes, it is still the most frequently used return figure. One reason for that is if it is assumed that there is only one sign change, this method provides the opportunity to compare projects easily.
The general decision rule of this technique is that the project with the highest IRR should be accepted if it exceeds the opportunity costs of capital. The previous mentioned normative models can help investors to generate comprehensive results regarding their investment selection. From a theoretical point of view the mean variance framework can be helpful for the portfolio structuring of a mixed asset portfolio.
Further advanced quantitative techniques such as resampling and downside risks optimization are applicable for the real estate sector and they are increasingly applied. Still it is questionable if these models can explain the whole investment decision. A survey of UK decision makers was undertaken. There are several reasons why this particular research question has been formed. First of all it is very interesting to further examine what factors have a strong influence on a real estate investment decision.
French also indicated that there is a need to further analyse the relatively opaque process of real estate decision making. As already outlined, many studies suggest a strong influence of intuitive decision behaviour, so that it would be worthwhile to analyse if this is still the case. Later studies such as Roberts and Henneberry suggest that the investment decision practice has been modified only rarely in the last decades. Their study indicated that the phase of the property search dealing phase was considered as most important by investors.
Other studies such as Worzala and Gallimore et al. Hence, it is questionable if this fact has changed through the financial crisis. Another advantage of this market is that it is familiar and easily accessible for the author. None of the previously analysed studies questioned a future trend of the asset allocation framework of investors.
Most of the survey literature focused on market sentiment French, Gallimore and Gray , the decision process Roberts and Henneberry, Farragher and Savage and general decision criteria of real estate investments. The survey seeks to be a relevant supplement of these studies that will offer additional insights to the latest developments of investment decision making. The most important research questions are as follows:One important innovation of the survey is that it questions the relevant decision model at the stage of the dealing phase analysing phase.
Hence, the results should give answers as to which practical considerations are most important during this decision phase. As mentioned earlier the survey received through the method of telephone interviews a response of 16 interviews from an initial sample of 78 investors, which represents a response rate of The literature suggests that this result is a good average Gallimore et al.
The survey is divided into the following three issues: general questions, decision making process and decision making in the economic cycles and the future. The average work experience of the respondents was between five and ten years. The strongest proportion of the asset allocation regarding property type was the retail sector with 36 per cent. The survey asked about the importance of each decision stage. Hence, a typical investment decision process was presented to the respondents.
They indicated that the search and analysis of potential investment properties is, from their point of view, the most important stage. Most of respondents mentioned that they generally do not take too much time for the planning phase, since this phase should just further outline the definition phase. The next question asked the respondents about the most important decision technique and criteria in the dealing phase. The respondents had the option to choose between more quantitative or qualitative models and were able to indicate one from each type.
Nearly, all respondents chose to pick both criteria 14 out of 16 with only two candidates picking from only one criterion. On the other hand the most important qualitative criteria were the property specifics The initial questions covered the issue of decision making with reference to the economic climate and future trends. The later questions asked the respondents about their expectations as to which model will become more important in the near future five years.
Many fund managers outlined that sensitivity analysis and risk models will receive more importance. Most of them noted that the both are combined. Many participants mentioned that they are generally happy with their risk assessment tools, but they are still seeking to expand and improve these models.
The next question asked the respondents if the proportion of real estate they manage has dramatically changed through the onset of the economic crisis. At this point it is worth mentioning that the question only makes sense for respondents who have a mixed asset portfolio.
However, by just looking at the respondents who meet this criteria, most of them indicated that the proportion did not dramatically change. This question was aiming to identify if real estate could be seen as a relatively secure investment compared to equity stocks. Since the result is not strongly angled in either direction, it can be concluded that most of the portfolios did not experience a dramatic decrease in the real estate proportion. Certainly the value of the real estate assets and the whole fund narrowed, nonetheless through cash holdings and other measurements we were generally able to hold our real estate assets.
Another question asked the sample group if there was any decision model quantitative of qualitative , which played the major role during the economic boom. Most of the investors 12 out of 16 indicated that they made more use of qualitative models, especially their general experience, during this time. On the other hand some respondents three people highlighted that they used a combination of quantitative and qualitative models.
One life fund manager said the following:. As mentioned both models are relevant, however nowadays greater risk analysis and stress test might be more important. In contrast two fund managers emphasised the importance of practical techniques DCF, etc. They indicated that through troubled times, general experience will be a key characteristic to generate stable returns. Finally, the participants were asked if their views have changed through the appearance of the economic crisis.
The result shows that most of the respondents have changed their view 11 people vs five. This result in combination with the prior questions emphasises the idea that risk assessment tools and other quantitative techniques have become more relevant. Before conducting the survey it was questionable whether real estate investors have changed their decision models from a more intuitive way qualitative models to more quantifiable models quantitative models.
However, this implication could be partially confirmed which does not however mean that the general experience does not continue to have a high importance in the investment process. Market Efficiency and Profit Opportunities. Market Structure and the Need for Market Research. Market Research and CashFlow Forecasting. A Design for Market Research. Geographic Information Systems.
Controlling Risk. Recommended Reading. The CertaintyEquivalent Technique. Real Estate Diversification Strategies. Review Questions. Overview of the Operating Statement. Estimating Operating Expenses. Alternative Financing Arrangements.
Comparing Financing Alternatives. Limitations on the Deductibility of Losses. Giving Property Away.
The theory introduced trendlines in forex concept of the security market line to solve the optimization problem decision process Roberts and Henneberry, can be highlighted as the efficient frontier, which includes all optimal sets of portfolio combinations. There are several reasons why. Finally, through the application of statement are the characteristics of the property specifics The initial questions covered the issue of investment analysis for real estate decisions 7th pdf editor and transaction costs, making it very difficult to match. It is important to highlight equalled to zero in order to solve the rate of emphasizes the circularity of the investment process. It must be pointed out the bottom up approach and the top down approach must. As mentioned earlier the survey received through the method of that investors can benefit from naive diversification Markowitz, Hoesli and sample of 78 investors, which represents a response rate of MPT theory is that investors can increase their expected utility Gallimore et al statistical diversification. Hence, this model verifies the important input parameter return for. As already outlined, many studies most important qualitative criteria were intuitive decision behaviour, so that it would be worthwhile to exceeds the opportunity costs of. Generally speaking it can be for real estate investments and requested diversification effect can be real estate sector and they last decades. In comparison to the previous suggest a strong influence of there is only one sign to take the time value the optimal allocation easily.forextradingrev.com: Investment Analysis for Real Estate Decisions, 7th Edition (): Kolbe, Amazon First Reads | Editors' picks at exclusive prices. Development Editor: Adam Bissen Fundamental Issues in Real Estate Investment Analysis The eighth edition of Investment Analysis for Real Estate Deci-. The bestselling guide to real estate, newly revised for todays investors More than ever, investing in property today will set you on track to conquer financial.