Technical paper/Market risk

Cutting Edge introduction: Followers of fashion

Focusing on how often a trading strategy ends on the winning side can distract from the question of whether it profits on average. The key is in the return distribution’s skew – and at least for trend-following strategies this can be directly controlled…

A dynamic model for hard-to-borrow stocks

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…

A dynamic model for hard-to-borrow stocks

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…

Error of VAR by overlapping intervals

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

Error of VAR by overlapping intervals

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

Component VAR for a non-normal world

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…

Looking forward to back testing

With increasing challenges to measure value-at-risk and meet high regulatory requirements, the focus has turned to back testing as a way of assuring models' adequacy. Carsten S Wehn proposes a new regime of back testing, combining state-of-the-art…

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here