Showing 1 - 10 of 34,061
Using virtual stock markets with artificial interacting software in- vestors, aka agent-based models (ABMs), we present a method to reverse engineer real-world financial time series. We model financial markets as made of a large number of interacting boundedly rational agents. By op- timizing...
Persistent link: https://www.econbiz.de/10008922903
negative part of volatility, but unlike VaR, describes volatility dynamics. So it allows forecast calculation of the financial …Volatility is one of the most important characteristics of any financial instrument return. The idea which states that … volatility of financial assets and it corresponds well with the efficient market hypothesis. Therefore, all volatility models use …
Persistent link: https://www.econbiz.de/10010599754
to information arrivals and hence, volatility can be forecast, based on the up-to-date information. However, when the …. When new information arrives, the market's expectations change. Therefore, prices fluctuate. Thus, price volatility is due … frame work to study risk and return, so that, we can gain a better understanding of market volatility. …
Persistent link: https://www.econbiz.de/10005006809
Sornette et al. (1996), Sornette and Johansen (1997), Johansen et al. (2000) and Sornette (2003a) proposed that, prior to crashes, the mean function of a stock index price time series is characterized by a power law decorated with log-periodic oscillations, leading to a critical point that...
Persistent link: https://www.econbiz.de/10011113835
assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an …
Persistent link: https://www.econbiz.de/10010729486
assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an …
Persistent link: https://www.econbiz.de/10010542047
assets. Building on this idea, we propose the use of a highly flexible and tractable model to forecast the volatility of an …
Persistent link: https://www.econbiz.de/10010713843
Accurate prediction of risk measures such as Value at Risk (VaR) and Expected Shortfall (ES) requires precise estimation of the tail of the predictive distribution. Two novel concepts are introduced that offer a specific focus on this part of the predictive density: the censored posterior, a...
Persistent link: https://www.econbiz.de/10011255481
In this paper a new multivariate volatility model is proposed. It combines the appealing properties of the stable … Paretian distribution to model the heavy tails with the GARCH model to capture the volatility clustering. We assume that …
Persistent link: https://www.econbiz.de/10012721196
This study aims at analyzing the evolution of financial autonomy on a sample of 80 companies quoted in the Bucharest Stock Exchange, between 2006-2008. Classically, financial autonomy is measured using the global and day-to-day rates of financial autonomy. However, this study has tested the...
Persistent link: https://www.econbiz.de/10008470733