Showing 1 - 10 of 27
“desirable portfolio” delivering cash flows with negative risk at zero cost. Although these are not completely risk …-free investments and subject to the risk measure used, they can provide attractive investment opportunities for investors. We …
Persistent link: https://www.econbiz.de/10011811620
interdependence in the sensitivity of assets to the downside risk of other financial assets under severe firm-level and market … the "transmitters" and "receivers" of downside risk. We study the return series of 11 companies and the Food Industry … Mahram Manufacturing is the safest to hedge equity risk, and Glucosan and Behshahr Industries are the riskiest, while Gorji …
Persistent link: https://www.econbiz.de/10012293248
, downside risk. While the prospects of high returns are alluring for investors and speculators, the downside risks are important … volatility. Predictive models that can successfully explain volatility help to reduce downside risk. In this paper, we … investigate the value-at-risk (VaR) forecasts using a variety of volatility models, including conditional autoregressive VaR …
Persistent link: https://www.econbiz.de/10014335948
Hedging downside risk before substantial price corrections is vital for risk management and long-only active equity … manager performance. This study proposes a novel methodology for crafting timing signals to hedge sectors' downside risk …
Persistent link: https://www.econbiz.de/10014497324
performance, an array of risk-adjusted metrics, including Std Sharpe, ES Sharpe, VaR Sharpe, Information ratio, Sortino ratio …, Treynor ratio, and various downside risk metrics (historical VaR, modified VaR, Expected Shortfall, loss deviation, downside …-factor models highlight significant systematic market risk, reflected in notably high beta coefficients, negative alphas, and active …
Persistent link: https://www.econbiz.de/10014446604
In this paper, we employ 99% intraday value-at-risk (VaR) and intraday expected shortfall (ES) as risk metrics to …
Persistent link: https://www.econbiz.de/10012018629
investment decisions. The used risk attribution quantification models GARCH (1.1), EGARCH (1.1), GARCH-M (1.1) and TGARCH (1 ….1) are adapted to predict the volatility of investment funds. The current development focuses on forecasting the risk … of the models GARCH, EGARCH and GARCH-M with the highest risk concentration the investment fund "Golden Lev Index 30 …
Persistent link: https://www.econbiz.de/10014436423
Quantitative investment strategies are often selected from a broad class of candidate models estimated and tested on historical data. Standard statistical techniques to prevent model overfitting such as out-sample backtesting turn out to be unreliable in situations when the selection is based on...
Persistent link: https://www.econbiz.de/10012423034
The main focus of the study is to determine the financial uncertainty while examining the Sukuk bonds prices, Sukuk bond and global emerging market indices returns dynamics. The study, with a time period ranging from 2017 to 2020, applies the quantile regression technique. The study findings...
Persistent link: https://www.econbiz.de/10013161520
strategies, affects financial performance when risk is measured. We use the MA rule for market timing, that is, for when to buy … stocks and when to shift to the risk-free rate. The important issue regarding the predictability of returns is assessed. It …
Persistent link: https://www.econbiz.de/10011906234