Technical papers/Market Risk
Original headline:
Value-at-risk is usually calculated via Monte Carlo simulation, making it difficult to see the contributions from different risks. But in some circumstances approximate formulas can be derived that greatly...
Original headline:
The already challenging task of calibrating stochastic volatility models becomes even more complex when rates are random too. But an efficient Monte Carlo approach can be found – by using an esoteric,...
Original headline:
Calibrating implied volatility just got easier – thanks to a classical mathematical device with an illustrious history. Laurie Carver introduces this month’s technical articles by looking at how the...
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More Technical papers/Market Risk articles
Original headline:
Copula functions that provide a way of splicing the probability distributions of multiple assets together have taken a lot of flak since the crisis. Laurie Carver introduces this month’s technical articles by looking at the fate of such methods –...
Published online only
Classical with-profit life insurance products are traditionally backed by a buy-and-hold bond investment strategy. Using book-value accounting for such products tends to lead to a design of the guarantee rate based on an average of long-term interest...
Published online only
Traders with short positions in stocks that are subject to short-selling restrictions risk being 'bought in', in the sense that their positions may be closed out by the clearing firm at market prices. Marco Avellaneda and Mike Lipkin present a model for...
Published online only
Traders with short positions in stocks that are subject to short-selling restrictions risk being 'bought in', in the sense that their positions may be closed out by the clearing firm at market prices. Marco Avellaneda and Mike Lipkin present a model for...
Published online only
When overlapping intervals in time series are used, volatility and price changes' percentiles are underestimated. Consequently, value-at-risk is also underestimated. Heng Sun, Izzy Nelken, Guowen Han and Jiping Guo measure the size of this underestimation...
Published online only
When overlapping intervals in time series are used, volatility and price changes' percentiles are underestimated. Consequently, value-at-risk is also underestimated. Heng Sun, Izzy Nelken, Guowen Han and Jiping Guo measure the size of this underestimation...
Published online only
It has become standard to account for non-normality when estimating portfolio value-at-risk, but there are few methods available to calculate the risk contributions of each component in a non-normal portfolio. Brian Peterson and Kris Boudt present a method...
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