Showing 1 - 10 of 620
A recently much debated issue is why observed investment and growth rates inpoor countries are lower than traditional … investment rates is notmonotonic but follows a hump-shaped pattern. The empirical evidence shows thatalthough very poor economies … have very low investment rates there are'intermediately' developed economies that exhibit extremely high investmentrates …
Persistent link: https://www.econbiz.de/10011302623
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
environment.Until recently, empirical studies measuring just how important institutions are for growthand investment have been ….In this paper the most important empirical studies on the relationship betweeninstitutions and growth and investment, and the …,showing as an important aside which (economic) variables have been found to be robustlyrelated to growth and investment. Section …
Persistent link: https://www.econbiz.de/10011300567
Persistent link: https://www.econbiz.de/10000997545
Persistent link: https://www.econbiz.de/10000151686
Persistent link: https://www.econbiz.de/10000972453
Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...
Persistent link: https://www.econbiz.de/10010533206
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the … microstructure noise has an adverse effect on both spot variance estimation and jump detection. In our approach we can analyze high …
Persistent link: https://www.econbiz.de/10011379469
Large data sets in finance with millions of observations have becomewidely available. Such data sets enable the construction of reliablesemi-parametric estimates of the risk associated with extreme pricemovements. Our approach is based on semi-parametric statisticalextreme value analysis, and...
Persistent link: https://www.econbiz.de/10011299966
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility, which accommodates level shifts, day-of-the-week...
Persistent link: https://www.econbiz.de/10011335205