{"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