2013
DOI: 10.1016/j.najef.2013.08.002
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Dynamic relationships between industry returns and stock market returns

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Cited by 26 publications
(13 citation statements)
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“…6 In other words, dividends are reinvested. As standard in the literature, all returns are measured in US dollars (Bilson et al, 2001;Chambet & Gibson, 2008;de Jong & de Roon, 2005;Donadelli, 2013;Donadelli & Persha, 2013;Donadelli & Prosperi, 2012;Grootveld & Salomons, 2003;Lee, Chen, & Chang, 2013;Pukthuanthong & Roll, 2009). Note that returns denominated in US dollars retain only US inflation, are consistent with US macroeconomic variables' currency, and are homogeneous across Asian economies.…”
Section: A Brief Review Of the Literaturementioning
confidence: 99%
“…6 In other words, dividends are reinvested. As standard in the literature, all returns are measured in US dollars (Bilson et al, 2001;Chambet & Gibson, 2008;de Jong & de Roon, 2005;Donadelli, 2013;Donadelli & Persha, 2013;Donadelli & Prosperi, 2012;Grootveld & Salomons, 2003;Lee, Chen, & Chang, 2013;Pukthuanthong & Roll, 2009). Note that returns denominated in US dollars retain only US inflation, are consistent with US macroeconomic variables' currency, and are homogeneous across Asian economies.…”
Section: A Brief Review Of the Literaturementioning
confidence: 99%
“…In other words, Chien-Chiang Lee et al (2013) found a bi-directional dynamical causal relationship between the industry returns and stock market returns. They also stated that the consumer service industry returns have a significant power in explaining the movements of the market returns.…”
Section: Relationship Between Interest Rate and Stock Return Of Nonfimentioning
confidence: 99%
“…Actually, as it includes Europe, USA, and China and provides evidence for two different nonfinancial sectors (industry and technological sector). Most other studies focus on nonfinancial sector or type of risk a single of country (see Prabhath and Tsui 2008;Lee et al 2013) which allow for both types of risk mainly the studies of the Japanese and the industrial sectors (see Prabhath and Tsui 2008). Second, we carry out our extensive analysis using an appropriate econometric methodology (a four-variate GARCH-M framework) which enables us to jointly model the nonfinancial sector, the stock market, the interest rate, and the exchange rate risk by estimating their conditional volatilities.…”
Section: Introductionmentioning
confidence: 99%
“…This approach [14] focuses on the industry leading affect by evaluating the industry, market, feedback and neutrality of a certain domain. Here is concluded that the stock market evolution can be predicted by looking at GDP growth rate, exports, oil price, the exchange rate, the interest rate, and government support.…”
Section: A Related Workmentioning
confidence: 99%