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Pei-Fen Chen

Researcher at National Chi Nan University

Publications -  25
Citations -  1241

Pei-Fen Chen is an academic researcher from National Chi Nan University. The author has contributed to research in topics: Panel data & Diversification (finance). The author has an hindex of 13, co-authored 22 publications receiving 1016 citations. Previous affiliations of Pei-Fen Chen include National Sun Yat-sen University.

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Energy-income causality in OECD countries revisited : The key role of capital stock

TL;DR: In this article, the authors apply a recent advance in panel analysis to estimate the panel cointegration and panel vector error correction models for a set of 22 OECD countries using annual data covering the period 1960-2001.
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Is energy consumption per capita broken stationary? New evidence from regional-based panels

TL;DR: In this article, a new panel unit root testing procedure, developed by Cararrion-i-Silvestre et al., is applied to re-investigate the stationarity of energy consumption per capita for 7 regional panel sets covering the 1971-2002 period.
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How does the development of the life insurance market affect economic growth? Some international evidence

TL;DR: In this article, the authors investigated the effect of life insurance on economic growth and what conditions affect the insurance-growth nexus and found that both the development of stock market and the life insurance market are substitutes rather than complements.
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Asymmetric effects of investor sentiment on industry stock returns: Panel data evidence

TL;DR: In this article, the authors employed a state-of-the-art panel threshold model by allowing for regime intercepts, in order to shed new light on the asymmetric/nonlinear effects of local and global sentiments on expected industry stock returns among 11 Asian countries during the period from 1996 to 2010.
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The relationship between spot and futures oil prices: Do structural breaks matter?

TL;DR: The authors examined the effect of structural breaks on the spot-futures oil prices relationship and explored the impact of structural break on four critical issues including cointegrating relationships, market efficiency under the expectation hypothesis and the no arbitrage rule, causalities, and forecasting performance of futures oil volatility.