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  1. AU="Yi-Hsien Wang"
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  1. Article ; Online: Analyzing the factors influencing adoption intention of internet banking

    Wan-Rung Lin / Yi-Hsien Wang / Yi-Min Hung

    PLoS ONE, Vol 15, Iss 2, p e

    Applying DEMATEL-ANP-SEM approach.

    2020  Volume 0227852

    Abstract: The main purpose of this study is to propose a research model to explore the key factors affecting consumers' willingness to use online banking. There are two stages in this research. Firstly, the decision making trial and evaluation laboratory (DEMATEL) ...

    Abstract The main purpose of this study is to propose a research model to explore the key factors affecting consumers' willingness to use online banking. There are two stages in this research. Firstly, the decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) were used to explore the key factors of companies in operation of online banking. Secondly, the structural equation modeling (SEM) was used to explore the key factors of consumers' actual use of online banking. The results showed differences in the factors that companies and consumers adopted. Based on the findings, companies can adjust their business strategies and improve the consumers' willingness of online banking usage. The primary factor valued by both companies and consumers is trust. Hence, in the business of internet banking, the companies must strengthen areas such as liquidity monitoring, information security, and compliance with financial regulations, in order to reduce risks and gain customers' trust.
    Keywords Medicine ; R ; Science ; Q
    Subject code 303
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Minimum variance hedging with bivariate regime-switching model for WTI crude oil

    Hung, Jui-Cheng / Yi-Hsien Wang / Chang, Matthew C. / Shih, Kuang-Hsun / Hsiu-Hsueh Kao

    Energy

    Volume v. 36,, Issue no. 5

    Abstract: This paper proposes a four-regime bivariate Markov regime-switching model to estimate the daily time-varying minimum variance hedge ratios for West Texas Intermediate (WTI) crude oil, and evaluates its in- and out-of-sample hedging performances with two- ... ...

    Abstract This paper proposes a four-regime bivariate Markov regime-switching model to estimate the daily time-varying minimum variance hedge ratios for West Texas Intermediate (WTI) crude oil, and evaluates its in- and out-of-sample hedging performances with two-regime model, CC-GARCH, TVC-GARCH, and OLS models. Empirical results reveal that the four-regime Markov switching model outperforms the other models for both in- and out-of-sample hedging performance. Based on Hansen’s SPA test (2005), the four-regime model significantly outperforms the other models for only in-sample hedging.
    Keywords models ; variance ; petroleum
    Language English
    Document type Article
    ISSN 0360-5442
    Database AGRIS - International Information System for the Agricultural Sciences and Technology

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