Management Science, Economics and Finance: A Connection

Chang, Chia‐Lin; McAleer, Michael

doi:10.4172/2162-6359.1000358

Cited by 10 publications

(11 citation statements)

References 65 publications

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“…The paper investigated the preferences of risk averters to invest in warrants between China and Taiwan. Extensions include using other tools to compare the preferences for risk averters to invest in warrants between China and Taiwan, as well as investigate the preferences of other types of investors (see Chang et al [72][73][74][75][76] for further information).…”

Section: Discussionmentioning

confidence: 99%

Why Are Warrant Markets Sustained in Taiwan but Not in China?

2018

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This paper uses moment analysis, capital asset pricing model (CAPM) statistics, stochastic dominance (SD) test, and volume analysis to investigating why the market for Taiwan warrants can be sustained but not in China. Our moment analysis shows that buying in China warrants has a higher likelihood of losses. Our CAPM analysis shows that both the Sharpe ratio and Jensen index for warrants from the Chinese market are too negative. The Treynor index shows that Chinese warrants are highly volatile. Our SD analysis shows that risk averters prefer to invest in Chinese warrants compared to Taiwanese warrants, implying that the warrant issuers prefer to issue Taiwanese warrants than Chinese warrants. Using volume analysis, the Chinese warrant market is much more active, implying more speculative activities in China than in Taiwan. All the above could lead to China’s decision to close its warrant market. The findings in the paper are useful for academics, investors, and policy makers.

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Section: Discussionmentioning

confidence: 99%

Why Are Warrant Markets Sustained in Taiwan but Not in China?

2018

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“…Readers may refer to Chang et al (2016aChang et al ( , 2016bChang et al ( , 2016c for contributions in other cognate areas that might be useful in theory and practice.…”

Section: Discussionmentioning

confidence: 99%

“…Readers may refer to Chang et al (2016a) for applying the theoretical models, and econometric and statistical models, to behavioural, finance, health and medical economics; Chang et al (2016b) for applying the theory, and econometric and statistical models, to informatics, data mining, econometrics and financial economics; Chang et al (2016c) for applying the theory, and econometric and statistical models, to management science, economics and finance; and for applying the theory, and econometric and statistical models, to management information, decision sciences, and financial economics.…”

Section: Applications In Economics and Financementioning

confidence: 99%

Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections

Chang

McAleer

Wong

2018

JRFM

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Abstract:The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses research issues that are related to the various disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models, as well as conduct simulation to examine whether the estimators in their theories on estimation and hypothesis testing have good size and high power. Thereafter, academics and practitioners could apply theory to analyse some interesting issues in the seven disciplines and cognate areas.

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“…Readers may refer to Chang, McAleer, and Wong (2016a) for applying the theoretical models, and econometric and statistical models, to behavioural, finance, health and medical economics; Chang, McAleer, and Wong (2016b) for applying the theory, and econometric and statistical models, to informatics, data mining, econometrics and financial economics; Chang, McAleer, and Wong (2016c) for applying the theory, and econometric and statistical models, to management science, economics and finance; and Chang, McAleer, and Wong (2017) for applying the theory, and econometric and statistical models, to management information, decision sciences, and financial economics.…”

Section: Applications In Economics and Financementioning

confidence: 99%