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heteroskedasticity (GARCH) and autoregressive stochastic volatility (ARSV) models for volatility forecasting using the S&P 500 Index. In …-step-ahead volatility forecasts. The empirical results show that the ARSV(1) model outperforms the GARCH(1, 1) model in terms of the in … volatility, are not robust for out-of-sample option price predictions. …
Persistent link: https://www.econbiz.de/10015334547
for the Heston model, which are based on exact simulation of the underlying volatility process. Both for an Euler- and a …Inspired by the article Weak Convergence Rate of a Time-Discrete Scheme for the Heston Stochastic Volatility Model … Feller index of the volatility process. In our analysis, we also observed the usual trade off between the smoothness …
Persistent link: https://www.econbiz.de/10012423114
simulation of the skeleton of such processes and propose a novel procedure when they coincide with compound Poisson processes of … Ornstein-Uhlenbeck type. We illustrate the applicability of the theoretical findings and the simulation algorithms in the …
Persistent link: https://www.econbiz.de/10013368314
The paper examines the relative performance of Stochastic Volatility (SV) and Generalised Autoregressive Conditional … Heteroscedasticity (GARCH) (1,1) models fitted to ten years of daily data for FTSE. As a benchmark, we used the realized volatility (RV … standard volatility models if the simple expedient of using lagged squared demeaned daily returns provides a better RV …
Persistent link: https://www.econbiz.de/10012203997
To address a key issue in functional time series analysis on testing the randomness of an observed series, we propose an IID test for functional time series by generalizing the Brock-Dechert-Scheinkman (BDS) test, which is commonly used for testing nonlinear independence. Similarly to the BDS...
Persistent link: https://www.econbiz.de/10015333723
The present study aimed to investigate the presence of asymmetric stochastic volatility and leverage effects within the …. Using the results of the asymmetric stochastic volatility model, we evaluated both the Nasdaq-100 index as a whole and the … volatility persistence, predictability, and correlation levels of individual stocks. This allowed us to evaluate the ability of …
Persistent link: https://www.econbiz.de/10014636604
are restricted in order to preserve the drift and the volatility of the project-value process that it modifies. By …
Persistent link: https://www.econbiz.de/10011866522
We model the logarithm of the spot price of electricity with a normal inverse Gaussian (NIG) process and the wind speed and wind power production with two Ornstein–Uhlenbeck processes. In order to reproduce the correlation between the spot price and the wind power production, namely between a...
Persistent link: https://www.econbiz.de/10011867386
differential equation via a forward-backward neural network, also calibrating the related stochastic volatility model when dealing … with European options. The obtained results exhibit accurate approximations of the implied volatility surface. Specifically …
Persistent link: https://www.econbiz.de/10014230888
In this paper, we introduce a 3D finite dimensional Gaussian process (GP) regression approach for learning arbitrage-free swaption cubes. Based on the possibly noisy observations of swaption prices, the proposed 'constrained' GP regression approach is proven to be arbitrage-free along the strike...
Persistent link: https://www.econbiz.de/10014230924