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At its core, portfolio and risk management is about gathering and processing market-related data in order to make effective investment decisions. To this end, risk and return statistics are estimated from relevant financial data and used as inputs within the investment process. It is this...
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This paper develops a novel importance sampling algorithm for estimating the probability of large portfolio losses in the conditional independence framework. In a sense we modify the algorithm of Glasserman and Li (2005) so that it can be applied in a wider variety of models, including the t...
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Sudden jumps in the stock market have a significant impact on consumers’ wealth. A market crash, in particular, can devastate lives and destabilize the entire economy. Therefore, it would be desirable if consumers, policy makers, and financial intermediaries could better anticipate such...
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Portfolio credit risk is often concerned with the tail distribution of the total loss, defined to be the sum of default losses incurred from a collection of individual loans made out to the obligors. The default for an individual loan occurs when the assets of a company (or individual) fall...
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, I estimate asset allocation confidence intervals for the optimal retirement investment problem in the presence of …
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