Posts Tagged ‘Copula

11
Oct
11

Finanzas 101: Proxy Hedging

Tal vez es una serie de post más para finanzas 301, pero los ultimos 3 post de Quantivity hacen un buen capitulo de Hedging.

Proxy / Cross Hedging

“The root challenge of two current equity risk and alpha projects boil down to hedging using non-underlying instruments, known as proxy hedging or cross hedging.”

Empirical Quantiles and Proxy Selection

“(…)how to choose an appropriate hedge instrument, especially amongst several alternatives.”

Empirical Copulas and Hedge Basis Risk

“Of particular interest is understanding the dynamics of basis risk under extreme scenarios (both up and down), which are driven by time-varying stochastic joint covariation.”

03
Aug
11

Paper: #in Merton Model

Marking systemic portfolio risk with the Merton model

The downside risk of a portfolio of assets is generally substantially higher than the downside risk of its components. In times of crisis, when assets tend to have high correlation, the understanding of this difference can be crucial in managing the systemic risk of a portfolio.
In this article, Alex Langnau and Daniel Cangemi generalise Merton’s option formula in the presence of jumps to the multi-asset case. The methodology provides a new way to mark and risk-manage the  systemic risk of portfolios in a systematic way.

Link al Paper

______________________

A esta lectura, le sumaria este paper del 2006.


09
Feb
11

Paper: Dependencia estadistica del S&P

A Copula Approach on the Dynamics of Statistical Dependencies in the US Stock Market

Abstract

We analyze the statistical dependency structure of the S&P 500 constituents in the 4-year period from 2007 to 2010 using intraday data from the New York Stock Exchange’s TAQ database. With a copula-based approach, we find that the statistical dependencies are very strong in the tails of the marginal distributions. This tail dependence is higher than in a bivariate Gaussian distribution,which is implied in the calculation of many correlation coeffcients. We compare the tail dependence to the market’s average correlation level as a commonly used quantity and disclose an neraly linear relation.

Link al Paper




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