In this paper, the authors present a multiperiod portfolio management strategy that can be used to directly manage the realized volatility over a long time horizon.
The efficiency of the Anderson–Darling test with a limited sample size: an application to backtesting counterparty credit risk internal models
This paper presents a theoretical and empirical evaluation of the Anderson–Darling test when the sample size is limited.
In this paper, the authors introduce a novel, explicit, wide-stencil, two-dimensional (2D) tree–grid method for solving stochastic control problems (SCPs) with two space dimensions and one time dimension, or, equivalently, the corresponding Hamilton…
Existing tools still work, despite external scrutiny on default management, says risk chief
BlackRock, MSCI, LFIS among firms looking to replace traditional, linear risk models
A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…
Google Trends adds nothing to volatility predictions, researchers find
Guillaume Arnaud, global head of quantitative investment strategies (QIS), and Sandrine Ungari, head of cross-asset quantitative research at Societe Generale, explore the benefits of QIS for investors, why flexibility is crucial for investors to meet…
At the Asia ETF Forum 2019, Hong Kong Exchanges and Clearing (HKEX) welcomed industry experts from around the region to six key Asian exchange-traded fund (ETF) cities, offering attendees an updated view on the growing ETF market in Asia. This article…
After a difficult 2018, investors are increasingly wary of risk premia, concerned that factors leading to underperformance might be a recurring problem. Imene Moussa, executive director at UBS, clarifies this issue
Threat of high-frequency traders forces banks to spend big on tech
In this paper, the authors propose a modification of expected shortfall that does not treat all losses equally. We do this in order to represent the worries surrounding big drops that are typical of multiperiod investors.
Is book depth a sufficiently representative measure of market liquidity? A look at trade matching performance under different market volatility environments
Waning power of quant approach could be a reason for trend following’s malaise
CMBC Macro 1 signal index attracts $580 million as investors adapt to products without performance guarantees
Credit Suisse quant talks about new paper on valuing quanto options
This paper examines strategy performance from an investment practitioner perspective. Using long-term data from the Standard & Poor’s 500, the authors show that these strategies offer an improvement in risk-adjusted return compared with a buy-and-hold…
El Euch, Rosenbaum, Gatheral combine a rough volatility model with the classical Heston model
CCPs have work to do to restore confidence in clearing, but Roland Chai has a plan
Professor of finance talks about using equity, index and crude oil options to forecast spot prices