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Data-driven jump detection thresholds for application in jump regressions

Davies, Robert; Tauchen, George Eugene - 2015

This paper develops a method to select the threshold in threshold-based jump detection methods. The method is motivated by an analysis of threshold-based jump detection methods in the context of jump-diffusion models. We show that over the range of sampling frequencies a researcher is most...

Persistent link: https://www.econbiz.de/10011524214

Nonparametric estimation and inference for conditional density based Granger causality measures

Taamouti, Abderrahim; Bouezmarni, Taoufik; El Ghouch, Anouar - In: Journal of econometrics 180 (2014) 2, pp. 251-264

Persistent link: https://www.econbiz.de/10010433362

Weak form efficiency of Pakistan stock market using non-parametric approaches

Irfan, Mohammad; Khan, Muhammad Saleem; Irfan, Maria - 2011

This paper studies the performance of Karachi Stock Exchange (KSE) of Pakistan via non- parametric approaches. The study includes the weekly open and closing prices of KSE- 100 indexes for the period of 1st January 1999 to 31st August 2009. Several non-parametric approaches including...

Persistent link: https://www.econbiz.de/10009512942

Testing and modeling jump contagion across international stock markets : a nonparametric intraday approach

Jawadi, Fredj; Louhichi, Waël; Cheffou, Abdoulkarim Idi - In: Journal of financial markets 26 (2015), pp. 64-84

Persistent link: https://www.econbiz.de/10011477277

Modelling different volatility components in high-frequency financial returns

Feng, Yuanhua (contributor) - 2002

This paper considers simultaneous modelling of seasonality, slowly changing un- conditional variance and conditional heteroskedasticity in high-frequency fiancial returns. A new approach, called a seasonal SEMIGARCH model, is proposed to perform this by introducing multiplicative seasonal and...

Persistent link: https://www.econbiz.de/10002527401

An investigation of the risk and return relation at long horizons

Harrison, Paul; Zhang, Harold H. - In: The review of economics and statistics 81 (1999) 3, pp. 399-408

Persistent link: https://www.econbiz.de/10001406149

The Relationship between Stock Returns and Volatility in the Seventeen Largest International Stock Markets : A Semi-Parametric Approach

Dimitriou, Dimitrios I. - 2013

We empirically investigate the relationship between expected stock returns and volatility in the twelve EMU countries … returns and volatility for most of the markets. However, using a flexible semi-parametric specification for the conditional … related issue, the asymmetric reaction of volatility to positive and negative shocks in stock returns confirming a negative …

Persistent link: https://www.econbiz.de/10013091908

Refining the asymctmetric impacts of oil price uncertainty on Chinese stock returns based on a semiparametric additive quantile regression analysis

Xie, Qichang; Wu, Haifeng; Ma, Yu - In: Energy economics 102 (2021), pp. 1-14

Persistent link: https://www.econbiz.de/10013162433

Generalized jump regressions for local moments

Bollerslev, Tim; Li, Jia; Chaves, Leonardo Salim Saker - In: Journal of business & economic statistics : JBES ; a … 39 (2021) 4, pp. 1015-1025

Persistent link: https://www.econbiz.de/10012653221

Credit ratings and predictability of stock return dynamics of the BRICS and the PIIGS : evidence from a nonparametric causality-in-quantiles approach

Balcilar, Mehmet; Bathia, Deven; Demirer, Rıza; Gupta, … - In: The quarterly review of economics and finance : journal … 79 (2021), pp. 290-302

Persistent link: https://www.econbiz.de/10012655054