2018
DOI: 10.2139/ssrn.3198005
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Do Both Demand-Following and Supply-Leading Theories Hold True in Developing Countries?

Abstract: Acknowledgement:The authors are grateful to the Editor, Eugene Stanley, and seven anonymous referees for constructive comments and suggestions that led to a significant improvement of an early manuscript. The third author would like to thank Robert B. AbstractTo overcome the limitations of the traditional approach which uses linear causality to examine whether the supply-leading and demand-following theories hold. As certain countries will be found not to follow the theory by using the traditional approach, t… Show more

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Cited by 7 publications
(12 citation statements)
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“…We now present more detailed information on nonlinear causality for the first financial development proxy as follows: There is strong evidence of a bidirectional nonlinearly Granger relationship between economic growth and the first financial development proxy for Chile. We summarize the results of our bivariate linear and nonlinear causality tests in Table 11, reader may refer to Chow, Vieito, and Wong (2018) for Table 11.…”
Section: Bivariate Non-linear Granger Causalitymentioning
confidence: 99%
See 2 more Smart Citations
“…We now present more detailed information on nonlinear causality for the first financial development proxy as follows: There is strong evidence of a bidirectional nonlinearly Granger relationship between economic growth and the first financial development proxy for Chile. We summarize the results of our bivariate linear and nonlinear causality tests in Table 11, reader may refer to Chow, Vieito, and Wong (2018) for Table 11.…”
Section: Bivariate Non-linear Granger Causalitymentioning
confidence: 99%
“…, reader may refer toChow, Vieito, and Wong (2018) forTable 2. From the table, thehypothesis of having a unit root in the original (level) series of the first financial development proxy (M), the second financial development proxy (D) and the economic growth proxy (Y) are not rejected for all countries.…”
mentioning
confidence: 99%
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“…The SD theory can be used in many areas, including indifference curves (Wong, 2006(Wong, , 2007Ma and Wong, 2010;Broll, Egozcue, Wong, and Zitikis, 2010), two-moment decision model (Broll, Guo, Welzel, and Wong, 2015;Guo, Wagener, and Wong, 2018), moment rule (Chan, Chow, Guo, and Wong, 2018), economic growth (Chow, Vieito, and Wong, 2018), diversification Egozcue, Fuentes García, Wong, and Zitikis, 2011;Lozza, Wong, Fabozzi, and Egozcue, 2018). It can also be applied to many different assets, including stock (Fong, Lean, and Wong, 2008), fund Zumwalt, 2007, 2012;Wong, Phoon, Lean, 2008), futures (Lean, McAleer, Wong, 2010;Lean, Phoon, Wong, 2012;Qiao, Clark, Wong, 2012;Qiao, Wong, Fung, 2013;Lean, McAleer, Wong, 2015;Clark, Qiao, Wong, 2016), Warrant (Chan, de Peretti, Qiao, Wong, 2012;Wong, Lean, McAleer, Tsai, 2018), Option (Abid, Mroua, and 2009), wine (Bouri, Gupta, Wong, and Zhu, 2018), warrants (Chan, de Peretti, Qiao, and Wong, 2012), gold Zhu, 2015, 2018;Hoang, Zhu, El Khamlichi, and Wong, 2019) , property market (Qiao, Wong, 2015;Tsang, Wong, Horowitz, 2016).…”
Section: Stochastic Dominancementioning
confidence: 99%
“…All the above models are be related to decision sciences and can use the approaches discussed in our paper to get optimization solutions. Literature of applying unit root, cointegration, causality and nonlinearity tests includes Wong, Penm, Terrell, and Lim (2004), Wong, Khan, and Du (2006), Qiao, Liew, and Wong (2007), Foo, Wong, and Chong (2008), Qiao, Smyth, and Wong (2008), Qiao, Chiang, and Wong (2008), Chiang, Qiao, and Wong (2009), Qiao, McAleer, and Wong (2009), Qiao, Li, and Wong (2011), Vieito, Wong, and Zhu (2015, Batai, Chu, Lv, Wong (2017), Chow, Cunado, Gupta, Wong (2018), Chow, Vieito, Wong (2018), Zhu, Bai, Vieito, Wong (2018), Demirer, Gupta, Lv, Wong (2019), Chow, Gupta, Suleman, Wong (2019), and many others.…”
Section: Statistical and Econometric Modelsmentioning
confidence: 99%