Investment Risk and Uncertainty

ebook Advanced Risk Awareness Techniques for the Intelligent Investor · Wiley Finance

By Steven P. Greiner

cover image of Investment Risk and Uncertainty

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Valuable insights on the major methods used in today's asset and risk management arena

Risk management has moved to the forefront of asset management since the credit crisis. However, most coverage of this subject is overly complicated, misunderstood, and extremely hard to apply. That's why Steven Greiner—a financial professional with over twenty years of quantitative and modeling experience—has written Investment Risk and Uncertainty. With this book, he skillfully reduces the complexity of risk management methodologies applied across many asset classes through practical examples of when to use what.

Along the way, Greiner explores how particular methods can lower risk and mitigate losses. He also discusses how to stress test your portfolio and remove the exposure to regular risks and those from "Black Swan" events. More than just an explanation of specific risk issues, this reliable resource provides practical "off-the-shelf" applications that will allow the intelligent investor to understand their risks, their sources, and how to hedge those risks.

  • Covers modern methods applied in risk management for many different asset classes
  • Details the risk measurements of truly multi-asset class portfolios, while bridging the gap for managers in various disciplines—from equity and fixed income investors to currency and commodity investors
  • Examines risk management algorithms for multi-asset class managers as well as risk managers, addressing new compliance issues and how to meet them
  • The theory of risk management is hardly ever spelled out in practical applications that portfolio managers, pension fund advisors, and consultants can make use of. This book fills that void and will put you in a better position to confidently face the investment risks and uncertainties found in today's dynamic markets.

    Investment Risk and Uncertainty