Volatility risk is the risk of a change of price of a portfolio as a result of changes in the volatility of a risk factor. It usually applies to portfolios of derivatives instruments, where the volatility of its underlying is a major influencer of prices.
A measure for the sensitivity of a price of a portfolio (or asset) to changes in volatility is vega, the rate of change of the value of the portfolio with respect to the volatility of the underlying asset.
This kind of risk can be managed using appropriate financial instruments whose price depends on the volatility of a given financial asset (a stock, a commodity, an interest rate, etc.). Examples are Futures contracts such as VIX for equities, or caps, floors and swaptions for interest rates.
Risk management is the configuration and identification of analyzing, and or acceptance during investment decision-making. In essence this occurs whenever an investor or portfolio manager evaluates potential losses within an investment. Under certain investment objectives, appropriate solutions (or no solution) will occur to assess the investors goals and standards.
Improper risk management can and or will negatively affect companies as well as their individuals. For example, the recession that began in 2008 was largely caused by the loose credit risk management of financial firms.
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This course presents different types and mechanisms of electricity markets. It addresses in particular their impacts on power/distribution systems operation and consequently the appropriate strategies
Financial risk management is the practice of protecting economic value in a firm by managing exposure to financial risk - principally operational risk, credit risk and market risk, with more specific variants as listed aside. As for risk management more generally, financial risk management requires identifying the sources of risk, measuring these, and crafting plans to address them. See for an overview. Financial risk management as a "science" can be said to have been born with modern portfolio theory, particularly as initiated by Professor Harry Markowitz in 1952 with his article, "Portfolio Selection"; see .
We develop a tractable and flexible stochastic volatility multifactor model of the term structure of interest rates. It features unspanned stochastic volatility factors, correlation between innovations to forward rates and their volatilities, quasi-analyti ...
Oxford University Press2009
This thesis develops equilibrium models, and studies the effects of market frictions on risk-sharing, derivatives pricing, and trading patterns.In the chapter titled "Imbalance-Based Option Pricing", I develop an equilibrium model of fragmented options m ...
EPFL2018
Most term structure models assume bond markets are complete, that is, that all fixed income derivatives can be perfectly replicated using solely bonds. However, we find that, in practice, swap rates have limited explanatory power for returns on at-the-mone ...