|
|
|
|
|
Dean Fantazzini
In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by computing their probability of death using the daily range. Unlike conventional low-frequency volatility models that only utilize close-to-close prices, the da...
ver más
|
|
|
|
|
|
|
|
|
|
|
Samia Nasreen, Aviral Kumar Tiwari, Zhuhua Jiang and Seong-Min Yoon
In this study, the dependence between Bitcoin (BTC) and economic policy uncertainty (EPU) of USA and China is estimated by applying the latest methodology of quantile cross-spectral dependence. Daily data comprising a total of 1947 observations and cover...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nassar S. Al-Nassar and Beljid Makram
This study investigates return and asymmetric volatility spillovers and dynamic correlations between the main and small and medium-sized enterprise (SME) stock markets in Saudi Arabia and Egypt for the periods before and during the COVID-19 pandemic. Ret...
ver más
|
|
|
|
|
|
|
|
|
|
|
Leon Li
This paper advances a volatility-regime-switching mechanism to investigate the intensity and direction of the volatility spillover effect in carbon?energy markets. Switching between a low-volatility (LV) and high-volatility (HV) regime, our mechanism inv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marcial Messmer and Francesco Audrino
We investigate whether Lasso-type linear methods are able to improve the predictive accuracy of OLS in selecting relevant firm characteristics for forecasting the future cross-section of stock returns. Through extensive Monte Carlo simulations, we show t...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qian Chen,Xiang Gao,Gangchen Liu
Pág. 1 - 17
This paper utilizes Chinese stock data to provide further evidence on the power of limited attention theory in explaining post-earnings announcement drift. As retail investors prevail in China and they are easily distracted by market swings, we should ex...
ver más
|
|
|
|
|
|
|
|
|
|
|
Parizad Phiroze Dungore and Sarosh Hosi Patel
The generalized autoregressive conditional heteroscedastic model (GARCH) is used to estimate volatility for Nifty Index futures on day trades. The purpose is to find out if a contemporaneous or causal relation exists between volatility volume and open in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Monica Defend, Aleksey Min, Lorenzo Portelli, Franz Ramsauer, Francesco Sandrini and Rudi Zagst
This article considers the estimation of Approximate Dynamic Factor Models with homoscedastic, cross-sectionally correlated errors for incomplete panel data. In contrast to existing estimation approaches, the presented estimation method comprises two exp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bachar FAKHRY
Pág. 261 - 283
JEL. C58, D81, G01, G02, H77.
|
|
|
|
|
|
|
|
|
|
|
Kyung Jin Choi, Byungkwon Lim and Jaehwan Park
This study explored the option value embedded in a reverse mortgage in Korea through an empirical analysis, using the Black?Scholes option-pricing model. The value of a reverse mortgage is affected by the variation in house prices. However, older homeown...
ver más
|
|
|
|
|
|