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In dieser Arbeit setzen wir uns mit den Auswirkungen von Risikobeschränkungen auf das optimale Verhalten eines Investors auseinander, welcher versucht, den erwarteten Endnutzen zu einem festgelegten Zeitpunkt zu maximieren. Dazu kann er ein vorgegebenes Anfangsvermögen in einem Markt...
Persistent link: https://www.econbiz.de/10009462193
these commodities. VAR estimation reveals short-run cross-market interaction between NR and GA, and from NR to PA. Cross …-market influence exerted by PA is felt in longer dynamics, with PA volatility (volume) affecting NR (GA) volume (volatility). Our … findings are robust to lag-specification, volatility measure, and consistent with full BEKK-GARCH estimation results. Further …
Persistent link: https://www.econbiz.de/10009484135
into volatility persistence in stock returns. In part two, I show that the introduction of continuous trading on the WSE is … volatility on days after limit hits and positive autocorrelation in stock returns. I do not find significant advantages of this …
Persistent link: https://www.econbiz.de/10009460735
volatility on foreign exchange markets. Starting point is the market participant's microeconomic investment decision, which is … trading volume and volatility on foreign exchange markets. We apply various two-country-models with representative market …
Persistent link: https://www.econbiz.de/10009471738
Persistent link: https://www.econbiz.de/10009463981
mid-1980s, in contrast to the simultaneous volatility decline of most aggregates, including overall hours and employment … the skill premium, it is interesting to check its short-run implications for employment volatility. The numerical results … DSGE models' implications for overall labor market' volatility. …
Persistent link: https://www.econbiz.de/10009450956
the Vector Error Correction Model (VECM) , Multivariate VAR (p), Multivariate-VARX (p) and Multivariate VAR (p)-GARCH (q …
Persistent link: https://www.econbiz.de/10009431226
Stochastic Volatility (SV) models play an integral role in modeling time varyingvolatility, with widespread application … at Risk (VaR) calculation entails a numerically indirectprocedure. The Quantile Regression (QR) estimation is an …-KF) based on the QR approach thatcan be used to obtain robust SV model parameter estimates as well as VaR estimates. TheRQMM is …
Persistent link: https://www.econbiz.de/10009431241
This paper develops a structural VAR model to measure how a shock to one country can affect the GDP of other countries …
Persistent link: https://www.econbiz.de/10009433020
Extracting the principles associated with complexity theory and swarm intelligence has offered practical solutions for … symmetry, the techniques to reduce volatility in the healthcare business must address information asymmetry. In both cases …
Persistent link: https://www.econbiz.de/10009433074