Showing 1 - 10 of 1,482
This paper develops a method to improve the estimation of jump variation using high frequency data with the existence of market microstructure noises. Accurate estimation of jump variation is in high demand, as it is an important component of volatility in finance for portfolio allocation,...
Persistent link: https://www.econbiz.de/10011568279
This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...
Persistent link: https://www.econbiz.de/10012814196
We propose a novel dynamic approach to forecast the weights of the global minimum variance portfolio (GMVP). The GMVP weights are the population coefficients of a linear regression of a benchmark return on a vector of return differences. This representation enables us to derive a consistent loss...
Persistent link: https://www.econbiz.de/10012243462
dependent and independent variables are co-integrated. In this paper, we investigate forecasting performance between first …-of-sample forecasting under the CCAR framework. A simple application for models constructed for banks’ Comprehensive Capital Analysis and …
Persistent link: https://www.econbiz.de/10011724257
that forecasts improve significantly if jumps in the log-price process are considered separately from continuous components …
Persistent link: https://www.econbiz.de/10011430242
This paper examines exchange-rate volatility with GARCH models using monthly exchange-rate return series from 1985:1 to 2011:7 for Naira/US dollar return and from 2004:1 to 2011:7 for Naira/British Pounds and Naira/Euro returns. The study compare estimates of variants of GARCH models with break...
Persistent link: https://www.econbiz.de/10011476095
When the ARMA-GARCH model errors lack a finite fourth moment, the asymptotic distribution of the quasi-maximum likelihood estimator may not be Normal. In such a scenario the conventional bootstrap turns out inconsistent. Surprisingly, simulations show that the conventional bootstrap, despite its...
Persistent link: https://www.econbiz.de/10013081186
We present an estimation and forecasting method, based on a differential evolution MCMC method, for inference in GARCH … nearly all series. Finally, we carry out a forecasting exercise to evaluate the usefulness of structural break models …
Persistent link: https://www.econbiz.de/10012956780
At its core, portfolio and risk management is about gathering and processing market-related data in order to make effective investment decisions. To this end, risk and return statistics are estimated from relevant financial data and used as inputs within the investment process. It is this...
Persistent link: https://www.econbiz.de/10012893987
variations in returns. Forecasting volatility has been a stimulating problem in the financial systems. This study examined the … forecasting technique with respect to various volatility estimators. The methodology of volatility estimation included Close …, Garman-Klass, Parkinson, Roger-Satchell, and Yang-Zhang methods and forecasting was done through the ARIMA technique. The …
Persistent link: https://www.econbiz.de/10012870348