China's Impact on Mongolian Exchange Rate

Batai, Alimaa; Chu, Amanda M. Y.; Lv, Zhihui; Wong, Wing‐Keung

doi:10.2139/ssrn.3113165

Cited by 7 publications

(5 citation statements)

References 49 publications

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“…From the perspective of Decision Science, the research also shows that the choice of the STEMTech model is a good idea and is suitable in the context of teaching today. Readers can refer to other topics in Decision Sciences, for example, Finance (Wong, 2006;Ly et al 2019a,b;Batai et al, 2017, Truong et al 2019, Suu et al 2020, capital Wong, 1991, 1996;Wong and Chan, 2004;Lam et al, 2010Lam et al, , 2012Chang et al, 2017), Statistics a,b,c,d,e,d, Pho et al 2018, b, c, 2020a, b, Tian et al 2019, Tuan et al 2018,b,c, Li et al 2020, and logistics (Moslehpour et al, 2018;Tien et al, 2019). There are many other topics can be found in Decision Sciences, readers may refer to Chang, et al, 2016Chang, et al, , 2017Chang, et al, , 2018Chang, et al, , 2020, Fu et al 2020, Maleki et al 2020, Seyed et al 2020, Szeto et al 2020, Trung et al 2020, Wang et al 2020, and Zhou et al 2020, Hau et al 2019 for more information.…”

Section: Discussionmentioning

confidence: 99%

Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam

2020

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In the recent digital age, Decision Science plays an important role in many areas, including Education. Among the Educational trends that serve the fourth industrial revolution, STEM Education has been demonstrating its superiority through various studies from Europe to Asia.This study applies the STEMTech model, a model that connects the fields of Science, Technology, Engineering, and Mathematics to create products with a central technological factor, to create STEM products in the context of High Schools in Vietnam. We first design the survey questionnaires and distribute the questionnaires to respondents to get our survey done. We then carry out a quantitative analysis to evaluate rubric and find positive feedback from students, the model provides a new approach to teaching in High Schools in the industrial age 4.0, helps students create STEM products and have a dynamic and creative learning environment, and helps teachers to create modern tools and approaches. The real-life applications of the STEM products show the suitability, vitality, and potential of applying the STEMTech model when it comes to teaching.

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Section: Discussionmentioning

confidence: 99%

Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam

2020

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“…There are many good empirical applications of the work after applying the theory of matrix, for example, in two-moment model (Broll, et al, 2011(Broll, et al, , 2006(Broll, et al, , 2015Alghalith, et al, 2016Alghalith, et al, , 2017Alghalith, et al, , 2017a, production model (Guo, et al, 2015, Egozcue, et al, 2015, currency model (Agarwal, et al, 2004;Chen, et al, 2011), risk measures (Bai, et al, 2013;Chow, et al 2019), cointegration and causality (Batai, et al, 2017;Chen, et al, 2007Chen, et al, , 2008Cheng, et al, 2019;Chow, et al, 2019, Liew, et al, 2010Lv, et al, 2019;Qiao, et al, 2009;Zheng, et al, 2009), stochastic dominance (Bouri, et al, 2018).…”

Section: Applications Of Mathematical Economic Financial and Statisti...mentioning

confidence: 99%

Review of Matrix Theory with Applications in Education and Decision Sciences

2020

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Matrix theory plays a very important role in teaching Mathematics and solving mathematical problems. Studying the theory of matrix can help academics, practitioners, and students solve many problems in Engineering, Econometrics, Finance, Economics, Optimization, Decision Sciences, and many other areas. To review the matrix theory with applications, in this paper we first review the theory of matrix. We then discuss how to build up some mathematical, financial, economic, and statistical models by using matrix theory and discuss the applications by using the theory of matrix in Decision Sciences and other related areas like Mathematics, Economics, Finance, Statistics, and Education with real-life examples.

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“…For example, using cointegration, causality and nonlinearity tools, Batai et al (2017) examine the factors that maintain a long-run equilibrium, short-run impact, and causality with the exchange rate of Mongolia over China to shed light on exchange rate determination.…”

Section: Unit Roots Cointegration Causality Tests and Nonlinearitymentioning

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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China's Impact on Mongolian Exchange Rate

Cited by 7 publications

References 49 publications

Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam

Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam

Review of Matrix Theory with Applications in Education and Decision Sciences

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

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