Showing 1 - 10 of 149
We apply a jump GARCH model to daily returns of the ten largest international securitized real estate markets and investigate the sources of large price changes. We document, for the first time, evidence for jump dynamics across major international securitized real estate markets. Large price...
Persistent link: https://www.econbiz.de/10013044490
This paper presents an innovative approach to extracting factors which are shown to predict the VIX, the S&P 500 Realized Volatility and the Variance Risk Premium. The approach is innovative along two different dimensions, namely: (1) we extract factors from panels of filtered volatilities - in...
Persistent link: https://www.econbiz.de/10013045628
Range-based volatility estimators are analyzed in both daily and intraday sampling frequency and are also compared to the realized volatility estimator. The family of realized range-based estimators is extended as three range-based estimators are introduced. These three realized Parkinson...
Persistent link: https://www.econbiz.de/10013029272
Using high-frequency intraday data, we construct, test and model seven new realized volatility estimators for six international equity indices. We detect jumps in these estimators, construct the jump components of volatility and perform various tests on their properties. Then we use the class of...
Persistent link: https://www.econbiz.de/10013029279
In econometrics, long memory models for variance modeling like FIGARCH or FIAPARCH are characterized by a Fractional Differencing term. In order to estimate and apply these models, the infinite MacLaurin expansion of the differencing term has to be truncated at a certain level. We transfer the...
Persistent link: https://www.econbiz.de/10012936335
This paper introduces a general class of combined neural network-GARCH models suitable to financial time series analysis. We put special emphasis on designing a full model-building cycle for this class of models that includes all stages of econometric modelling (specification, estimation and...
Persistent link: https://www.econbiz.de/10014058559
The financial industry has eagerly adopted machine learning algorithms to improve on traditional predictive models. In this paper we caution against blindly applying such techniques. We compare forecasting ability of machine learning methods in evaluating future payoffs on synthetic variance...
Persistent link: https://www.econbiz.de/10013242609
I examine the relative information roles among West Texas Intermediate spot crude price and four futures contracts (F1 through F4) with different maturities. Using a cointegrated system with a non-unitary cointegrating vector, I address price discovery by investigating which price is more...
Persistent link: https://www.econbiz.de/10013114634
The paper elaborates on the employment intensity of growth. Previous evidence regarding this question is surveyed. Empirical results concerning Europe and selected other industrial countries reveal that the cyclical link between unemployment and growth is still stable in the nineties. However,...
Persistent link: https://www.econbiz.de/10010260482
The paper elaborates on the employment intensity of growth. Previous evidence regarding this question is surveyed. Empirical results concerning Europe and selected other industrial countries reveal that the cyclical link between unemployment and growth is still stable in the nineties. However,...
Persistent link: https://www.econbiz.de/10011474618