Managing Downside Risk in Financial Markets (With- CD-ROM) (Quantitative Finance)
Average customer rating: 3.5 out of 5 stars
  • Good book but software demo needs improvement.
  • Not a book for the average Consumer
  • Doesnt Help Individual Investors
  • Excellent Treatment of Risk/Return - A Must Read
Managing Downside Risk in Financial Markets (With- CD-ROM) (Quantitative Finance)

Manufacturer: Butterworth-Heinemann
ProductGroup: Book
Binding: Hardcover

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ASIN: 0750648635

Book Description

Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal.

'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky.

Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control.

Free Software Enclosed
To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management.

The Forsey-Sortino model is an executable program that:
1. Runs on any PC without the need of any additional software.
2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets.
3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates.
4. Calculates upside potential and downside risk from monthly returns on any portfolio manager.
5. Calculates upside potential and downside risk from any user defined distribution.

Forsey-Sortino Source Code:
1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services.
2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book.

Riddles Spreadsheet:
1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format.
2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index

Brings together a range of relevant material, not currently available in a single volume source
Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management
Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors

Customer Reviews:

3 out of 5 stars Good book but software demo needs improvement........2007-09-04

This book does a good job of describing the flaws with Modern Portfolio Theory (MPT) as well as the proposed solution resulting in Post-MPT (Ch 1 and 4). The Visual Basic software demonstrates Post-MPT risk analysis of a single asset. I would have rated it a 5 if the software had demonstrated Post-MPT asset allocation among multiple assets. As it stands I have a choice of EITHER reverse engineering the software/spreadsheet and adding multiple assets OR purchasing third party software.

3 out of 5 stars Not a book for the average Consumer .......2007-07-07

As a financial planner here in the midwest, I'm always looking to improve my business and the way I manage portfolios. For years I've always adhered to the capital asset pricing methods and Bill Sharpe's work in designing investment portfolios. So after looking for a better mousetrap, I found the Sortino Ratio. I was thinking this book -like many others in the investment realm- would be "dumbed-down" and written for a large scale audience----just the opposite. You better brush up on your math skills. It doesn't take you down a road of how to create/manage the risk in portfolios; it's really for large scale management. The formulas are on every other page. (I'm being facetious, but not too far fetched.) If you're a CFA or maybe a CIMA, you might want to have this on your shelf of reference materials; if you're the average planner dealing with mom and pop day-to-day issues, stick with Sharpe. (If you're a consumer looking to manage your portfolio using this book- you've got either way too much time on your hands or some real OCD issues.)(The CD included is somewhat worthless.) *I'm still going to try and develop portfolios using this method, but need a company like Morningstar to wrap it up in a software package.)

3 out of 5 stars Doesnt Help Individual Investors.......2006-06-18

Like 99% of all books written on the stock market, this one does very little to help the efforts of individual investors. Rather, it is more applicable to funds and money managers, who have much different investment needs and styles. Individual investors need to understand how to determine business risk rather than liquidity risk or beta, which is usually the only kind of risk fund managers look at. Individual investors need to learn technical analysis (which fund managers do not look at typically) and they need to understand market sentiment. Finally, individual investors need to learn how to determine relative valuation--no not valuation methods that analysts go by--most of those are useless and they never consider downside risk. These are the keys to managing risk. I gave the book an average rating only because teaching risk management (and I mean practical risk management) is a very difficult task that I am not sure can be accomplished in a single book. It most certainly cannot be taught in a 270 page book. Most likely, the high price is a reflection of the audience---fund managers who pay for these expensive books with funds made by fund companies for doing nothing more than buy-and-hold.

5 out of 5 stars Excellent Treatment of Risk/Return - A Must Read.......2002-12-05

Though the book is quite pricey, it delivers a wealth of information regarding various treatments of risk and return. This is not the stuff you find in most financial texts, such as outdated modern portfolio theory. In fact, the material is far beyond the old risk/return traditions of yore. Various authors each contribute a chapter including Sortino so one gets a wide range of views (I only found a few chapters irrelevant to my needs). However, the common theme throughout is, "It is high time to view risk/return in a more meaningful and practical light."

This text is not just for portfolio managers. Anyone involved in risk/return assessment will benefit from the material; though much of the book is intended for those with a mathematical slant. The material can easily be applied to discounted cash flow (DCF) financial modeling though this is not discussed in the text. In my opinion, it blows away VAR, Real Options, etc.

If you ever thought T-Bills were riskless assts, you need to read this book or be forever wrong. I also found a wealth of information on Sortino's website that complimented the text. Lastly, each chapter is chocked full of nice reference articles for those desiring to delve deeper into the multitude of ideas presented.
Forecasting Financial Markets: Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series)
Average customer rating: Not rated
    Forecasting Financial Markets: Exchange Rates, Interest Rates and Asset Management (Financial Economics and Quantitative Analysis Series)

    Manufacturer: Wiley
    ProductGroup: Book
    Binding: Paperback

    GeneralGeneral | Popular Economics | Business & Investing | Subjects | Books
    Public FinancePublic Finance | Economics | Business & Investing | Subjects | Books
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    GeneralGeneral | Investing | Business & Investing | Subjects | Books
    GeneralGeneral | Finance | Accounting & Finance | Professional & Technical | Subjects | Books
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    ASIN: 0471966533

    Book Description

    Today s financial markets are characterised by a large number of participants, with different appetites for risk, different time horizons, different motivations and reactions to unexpected news. The mathematical techniques and models used in the forecasting of financial markets have therefore grown ever more sophisticated as traders, analysts and investors seek to gain an edge on their competitors. Written by leading international researchers and practitioners, this book focuses on three major themes of today s state of the art financial research: modelling with high frequency data, the information content of volatility markets, and applications of neural networks and genetic algorithms to financial time series. Forecasting Financial Markets includes empirical applications to present the very latest thinking on these complex techniques, including: