{"id":1738,"date":"2022-08-11T14:29:31","date_gmt":"2022-08-11T07:29:31","guid":{"rendered":"https:\/\/ntc33.net\/ktqt\/?p=1738"},"modified":"2024-03-12T15:09:51","modified_gmt":"2024-03-12T08:09:51","slug":"topic-10","status":"publish","type":"post","link":"https:\/\/ntc33.net\/ktqt\/en\/topic-10\/","title":{"rendered":"TOPIC 10"},"content":{"rendered":"\n

Last Thursday afternoon, December 31, 2020, from 2 pm \u2013 4 pm, Room 507 NVT hosted an academic meeting featuring two PhDs from the Faculty of Economics and Business, Dr. Nguyen Thi Phuong Nhung and Dr. Lam Thanh Phi Quynh.<\/p>\n\n\n\n

First, Dr. Nguyen Thi Phuong Nhung presented two models, VAR (Vector Autoregression) and ECM (Error Correction Mechanism), applied in time series data analysis for macro research, the stock market, and predicting relationships’ short-term and long-term impacts. The ECM model shows not only short-term but also long-term effects with long-term equilibrium effects. This can be one of the appropriate choices when analyzing time series data that needs to consider the stationarity of the data series, cointegration, and cointegration equations to help determine the long-run relationship and the system. The error correction number indicates how much adjustment to the equilibrium occurred at each stage and how much the equilibrium error was properly corrected. This method is also applied to university-level scientific research projects resulting in two international papers, rated Q3 and Q4, during the 2020-2021 academic year by Dr. Nguyen Thi Phuong Nhung and her colleagues from the Faculty of Economics and Business. The first study titled ‘Stock market and economic growth for Asian countries’ and the second, ‘The impact of internet payments, electronics, commerce, and human resources on economic growth.<\/p>\n\n\n\n

Second<\/em>, Dr. Lam Thanh Phi Quynh shared about the Ordered Logit\/Ordered Probit regression model applied in studies with dependent variables in the form of Likert scale, suitable for research in business administration or marketing to assess levels of satisfaction or perceptions among subjects, specifically it is very suitable to reflect the difference between feeling “totally agree” and “strongly agree” with the difference between feeling “neutral\u201d and \u201cagree\u201d or applied in research related to credit rating. This method is also used by Dr. Lam Thanh Phi Quynh applied in the research: “Determining the difference in the impact of factors affecting the credit rating of some ASEAN countries” in the academic year 2020-2021 with the output of international articles rated Q4. <\/p>\n\n\n

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The 10th professional session, an academic session of the lecturers of the Faculty of Economics & Business<\/figcaption><\/figure><\/div>\n\n\n

Finally<\/em>, the seminar attracted many young lecturers, graduate students, and researchers who are carrying out scientific research projects for the Faculty of International Economics. As the largest faculty at Hoa Sen University, the Faculty of Economics and Business is always a pioneer with high-ranking international research and articles. The academic seminar is a regular activity in the series of weekly academic activities held at the Faculty. The meeting is where lecturers in the Faculty share about their current research projects, and their newly updated knowledge of economics, finance, management, marketing, accounting, management information systems, foreign trade, etc. At the same time, through academic activities, many interesting research topics are suggested, not only for the purpose of training scientific research methods, but also for supporting young researchers to complete their dissertations to graduate, and veteran researchers at the Faculty to share research experience. The seminar is a bridge for lecturers of the Faculty of Economics and Business to contribute high-ranking international research and articles, contributing to improving the quality of training at the Faculty of International Economics. <\/p>\n\n\n\n

Dr. Nguyen Thi Phuong Nhung and Dr. Lam Thanh Phi Quynh<\/em><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Last Thursday afternoon, December 31, 2020, from 2 pm \u2013 4 pm, Room 507 NVT hosted an academic meeting featuring two PhDs from the Faculty of Economics and Business, Dr. Nguyen Thi Phuong Nhung and Dr. Lam Thanh Phi Quynh. First, Dr. Nguyen Thi Phuong Nhung presented two models, VAR (Vector Autoregression) and ECM (Error Correction Mechanism), applied in time series data analysis for macro research, the stock market, and predicting relationships’ short-term and long-term impacts. The ECM model shows not only short-term but also long-term effects with long-term equilibrium effects. This can be one of the appropriate choices when…<\/p>\n","protected":false},"author":25,"featured_media":1739,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[69],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/posts\/1738"}],"collection":[{"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/users\/25"}],"replies":[{"embeddable":true,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/comments?post=1738"}],"version-history":[{"count":3,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/posts\/1738\/revisions"}],"predecessor-version":[{"id":4634,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/posts\/1738\/revisions\/4634"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/media\/1739"}],"wp:attachment":[{"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/media?parent=1738"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/categories?post=1738"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ntc33.net\/ktqt\/wp-json\/wp\/v2\/tags?post=1738"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}