Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống
1
/ 282 trang
THÔNG TIN TÀI LIỆU
Thông tin cơ bản
Định dạng
Số trang
282
Dung lượng
1,39 MB
Nội dung
[...]... calculating downsiderisk As the market soared upward, 12 ManagingDownsideRisk in FinancialMarkets estimates of downsiderisk for mutual funds I tracked for Pensions and Investments magazine got smaller I was bootstrapping five years of monthly returns to generate 2000 years of annual returns Standard deviation was also shrinking from its average of over 20% to a mere 5% I became concerned that investors... or a na¨ve strategy that maintained a ı 60/40 mix of stocks to bonds This was in keeping with the theoretical findings of the late Vijay Bawa (1977) 1.4.1 Tests of style analysis If style analysis is a powerful tool for explaining the returns generating mechanism for equity portfolios, why couldn’t it be used to explain how much risk 18 ManagingDownsideRiskinFinancialMarkets Fund Name R-Sqd 90... Figure 1.2 R C dominates A by first degree stochastic dominance 6 ManagingDownsideRisk in FinancialMarkets MAR A C Figure 1.3 C dominates A by second degree stochastic dominance of risk, no matter what the degree of risk aversion They conclude that the identification of risk with variance is clearly unsound, and that more dispersion may be desirable if it is accompanied by an upward shift in the location... for the individual investor t −∞ (t − X)α df (X)α > 0 (1.1) where F (x) = the cumulative probability distribution of x t = the target rate of return α = a proxy for the investor’s degree of risk aversion When I first began publishing research on applications of downsiderisk I also used t and referred to the investor’s target rate of return Unfortunately, I 10 ManagingDownsideRisk in Financial Markets. .. Second order stochastic dominance states that all risk- averse investors who must earn the rate of return indicated by the line marked MAR in Figure 1.3,1 would prefer investing in C rather than A As noted elsewhere in the book, MAR stands for the minimal acceptable return Again, M-V rules could not make this distinction Hanock and Levy (1969) applied the rules of stochastic dominance to rectangular distributions... quantify risk The M-V framework was an excellent beginning, but that was almost 40 years ago This book identifies some of the 4 ManagingDownsideRisk in FinancialMarkets 68.26% 95.44% 99.74% −3s −2s −1s Figure 1.1 0 +1s +2s +3s The normal distribution advancements that have been made and how to implement them in portfolio management Jensen (1968) was the first to calculate the return the manager earned in. .. also take less risk? In an effort to accommodate From alpha to omega 13 this possibility of taking more or less risk than the style benchmark, I introduce a style beta (the downsiderisk of the manager divided by the downsiderisk of the style benchmark) The style beta of 1.25 indicates the manager systematically took 25% more downsiderisk than the benchmark The style beta times the downside variance... that make us think anew about the problem of assessing the risk- return trade off in portfolio management A tutorial for installing and running the Forsey–Sortino model is provided in the Appendix This tutorial walks the reader through each step of the installation and demonstrates how to use the model The CD provided with this book offers two different views of how to measure downsideriskin practice... Average top U-P LG-Fidelity LVS-Franklin Average lowest growth Oppenheimer Stgc Sm U-P main street Cap Gr/A G&I Style rankings: gain/loss 1 September to 30 November 2000 how long can organizations reporting performance continue to ignore the U-P ratio and the omega excess? 1.5 THE INTERNET APPLICATION With the advent of the Internet, many investors are seeking help in managing their self-directed retirement... occasions In keeping with the formula for downside risk, upside potential should take into consideration both frequency and magnitude Therefore, the sum of the excess returns are divided by 10 instead of 7 Dividing by 7 would provide an average excess return, which would capture magnitude, but not probability of exceeding the MAR.3 Upside potential combines both probability and magnitude into one statistic . Academics for Masters in Finance and MBA market. series titles Return Distributions in Finance Derivative Instruments: theory, valuation, analysis Managing Downside Risk in Financial Markets: theory,. alt="" MANAGING DOWNSIDE RISK IN FINANCIAL MARKETS Butterworth-Heinemann Finance aims and objectives • books based on the work of financial market practitioners, and academics • presenting cutting. the journal Derivatives: use, trading and regulations. MANAGING DOWNSIDE RISK IN FINANCIAL MARKETS: THEORY, PRACTICE AND IMPLEMENTATION Edited by Frank A. Sortino Stephen E. Satchell OXFORD AUCKLAND