Showing 1 - 10 of 110,217
risk analysis and forecasting. Conventional methods of risk analysis tend to underestimate the probability and impact of … assess critically the potential of big data to profoundly change the current capability for risk forecasting in diverse areas … and the assertion that big data leads to better risk predictions. In particular, this article focuses on big data …
Persistent link: https://www.econbiz.de/10012830728
intra-day basis, has spurred numerous theoretical advances in the areas of volatility/risk estimation and modeling. In this … shocks across different sectors and companies in the markets; and hence represents a type of systemic risk. Additionally, the …
Persistent link: https://www.econbiz.de/10012913503
The study determines if information extracted from a big data set that includes limit order book (LOB) and Dow Jones corporate news can help to improve realised volatility forecasting for 23 NASDAQ tickers over the sample from 28 June 2007 to 17 November 2016. The out-of-sample forecasting...
Persistent link: https://www.econbiz.de/10012824203
volatility models results in superior out-of-sample risk forecasts, compared to forecasts from existing models and more … volatilities. A utility-based framework designed to evaluate the economic gains from risk modeling highlights the interplay between … parsimony of model specification, transaction costs, and speed of trading in the practical implementation of the different risk …
Persistent link: https://www.econbiz.de/10012970195
Financial risk managers routinely use non-linear time series models to predict the downside risk of the capital under … prediction and the evaluation of downside risk. Emphasis is given to the two key financial downside risk measures: Value-at-Risk …
Persistent link: https://www.econbiz.de/10012902645
Empirical risk minimization is a standard principle for choosing algorithms in learning theory. In this paper we study … the properties of empirical risk minimization for time series. The analysis is carried out in a general framework that … risk minimization achieves asymptotically the optimal predictive performance that is attainable within the class of …
Persistent link: https://www.econbiz.de/10013216191
-switching GARCH (MSGARCH) models from a risk management perspective. We find that, for daily, weekly, and ten-day equity log …-returns, MSGARCH models yield more accurate Value-at-Risk, Expected Shortfall, and left-tail distribution forecasts than their single …
Persistent link: https://www.econbiz.de/10012902294
a risk-free asset. We show that the method behaves similarly to Kelly on Geometric Brownian Motion in that it …
Persistent link: https://www.econbiz.de/10012836362
different types of portfolio and benchmark ‘weights'. In particular, we introduce the idea of Risk Share – based on asset risk … contributions – and Factor Share – based on either factor style exposures or factor risk contributions. We describe these new … that the trio of Active Share, Risk Share and Factor Share provides one with a comprehensive, standardised means for easily …
Persistent link: https://www.econbiz.de/10012931742
Linear GARCH(1,1) and GJR GARCH(1,1) processes are established as regularly varying, meaning their heavy tails follow a Power Law, under conditions that allow the innovations from the, respective, processes to be either symmetrically distributed or skewed. Skewness is considered a stylized fact...
Persistent link: https://www.econbiz.de/10012933309