This paper used multiple time series regression models namely VAR(p) â€” (Vector Autoregression ) and VECM (Vector Error Correction Model) to study the relationship between public spending and some socioeconomic indicators of Ho Chi Minh City (HCMC) such as â€” gross Domestic Product; FDI â€” Foreign Direct Investment..., the topic that has received a special interest of both economists and governmental authorities. With the main contents include introducing the economic geography of Ho Chi Minh City, we expect the empirical results to aim to find the relationship public spending and some socioeconomic indicators of Ho Chi Minh City. Through analyzing research methods and pointing out a suitable model, it helps managers adjust policies, so that public spending brings the highest efficiency to the economic leader of the country, Ho Chi Minh City. This model helps us consider the long-term relationship of variables (time series). The results of the model are read through Granger causality tests, Graph of impulse response function. The table decomposes variance and co-integration equations... They are so useful to show the effectiveness of applying econometric models in the analysis of economic and financial problems.
EndNote - EndNote format (Macintosh & Windows)
ProCite - RIS format (Macintosh & Windows)
Reference Manager - RIS format (Windows only)
Forecasting stock index is a crucial financial problem which is recently received a lot of interests in the field of artificial intelligence. In this paper we are going to study some hybrid artificial neural network models. As main result, we show that hybrid models offer us effective tools to forecast stock index accurately. Within this study, we have analyzed the performance of classical models such as Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Network (ANN) model and the Hybrid model, in connection with real data coming from Vietnam Index (VNINDEX). Based on some previous foreign data sets, for most of the complex time series, the novel hybrid models have a good performance comparing to individual models like ARIMA and ANN. Regarding Vietnamese stock market, our results also show that the Hybrid model gives much better forecasting accuracy compared with ARIMA and ANN models. Specifically, our results tell that the Hybrid combination model delivers smaller Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) than ARIMA and ANN models. The fitting curves demonstrate that the Hybrid model produces closer trend so better describing the actual data. Via our study with Vietnam Index, it is confirmed that the characteristics of ARIMA model are more suitable for linear time series while ANN model is good to work with nonlinear time series. The Hybrid model takes into account both of these features, so it could be employed in case of more generalized time series. As the financial market is increasingly complex, the time series corresponding to stock indexes naturally consist of linear and non-linear components. Because of these characteristic, the Hybrid ARIMA model with ANN produces better prediction and estimation than other traditional models.
BI (Business Intelligence) is considered as a top priority of enterprises in investment decisions on information systems. Deploying a BI system is very complex, not just installing software and hardware, its success depends on assessing the current situation, planning, analyzing and improving business processes. This study was conducted to identify the factors influence the readiness of deploying BI in enterprises using ERP systems. Base on that, we suggest some solutions to increase the readiness and availability to better support enterprises in preparing for BI system deployment in the future. We surveyed participants in the process of deploying and using ERP system in theirs companies at Ho Chi Minh City. The research uses a combination of qualitative and quantitative methods to propose a research model, test model, discuss results and propose solutions. The experimental research results show that the readiness factors that enterprises need to pay attention to when deploying BI systems, in the order: Organization, Technology, Process and People.
In this paper we study the impact of relevant factors, such as individual characteristics, wages, living areas, on individual migration decisions. We have been using data from Labor Force Survey 2014 from Genaral Statistics Office of Vietnam (LFS 2014). We are going to evaluate how these above factors affect the status of "short-term migration" and "long-term migration" compared to "nonmigration". The well-known model in this field is the multinomial logistic model. However, the multinomial logistic model does not control the latent factors that have different effects on migration decision. This would result that the estimated coefficients of the variables would no longer be reliable (biased estimates due to lack of important variables). Hence, we have selected a multilevel multinomial logistic model. The levels we choose to control latent factors are province and region levels. As the results, the potential factors of different provinces and regions show different impacts on migration decisions. To sum up, a multilevel multinomial logistic model gives more reliable estimates, so it is more suitable for migration analysis compared to conventional multinomial logistic model.
Customer segmentation is the process of grouping customers based on similar characteristics such as behavior, shopping habitsâ€¦so that businesses can do marketing to each customer group effectively and appropriately. Customer segmentation helps businesses determine different strategies and different marketing approaches to different groups. Customer segmentation helps marketers better understand customers as well as provide goals, strategies and marketing methods for different target groups. This paper aims to examine the customer segmentation using clustering method in statistics and unsupervised machine learning. The algorithms used are K-means and Elbow which are famous algorithms that have been successfully applied in many areas such as marketing, biology, library, insurance, finance... The purpose of clustering is to find meaningful market segments. However, the adoption and adjustment of parameters in the algorithms so as to find significant customer segmentations remain a challenge at present. In this paper, we used data of customers of Thu Duc CoopExtra and found significant customer segmentations which can be useful for more effective marketing and customer care by the supermarket.
This paper outlines the history of the development of Vietnamese business and Vietnamese businessmen and entrepreneurs community in Poland. This special period of history of development was to be divided into two main phases. In addition, this article has analyzed the factors affecting international entrepreneurship spirit and international entrepreneurship capacity of this Vietnamese business community here in Poland. These factors are well identified in the overview part of international startups and international entrepreneurship study. The study showed that these factors include: foreign market appeal, government policies, compatibility of business practices, and adaptability to foreign markets. In the research part of this article, these factors were taken to be reanalyzed for the Vietnamese business community in Poland and showed why Vietnamese people choose Poland to be a good place for family settlement and for doing long-term business. Moreover, the success factors and success barriers behind their business development compared to the community of Chinese businessmen and entrepreneurs who came to Poland just only several years later have also been clearly identified. The research results show that, to strengthen the position and to raise the business awareness of Vietnamese business community in Poland, to strengthen it into a more developed and unified community for the purpose of future sustainable development, Vietnamese embassy in Poland with all of its networks of partnership, Vietnam's foreign trade promotion and trade representative agencies, and the diverse Vietnamese associations in Poland, both for profit and non-profit, need to play an interactive role to support Vietnamese businessmen and entrepreneurs to understand indigenous business practices, to overcome language and culture barriers in a bid to better integrate with the Polish business and social environment.
System risk is one of the problems concerned by many stock market researchers. Many different indicators have been used: the average price index Passcher, Laspeyres or Fisher. These indicators reflect the average price of stocks or a basket of representative stocks in the m arket. The models predicting the prices of these indexes are the measure of market risk. Recently, especially after the major financial crises, the plunge of the stock market indexes has been s een. There are two issues here: Firstly, whether a market index fully reflects systemic r isk. Secondly, any state of market risk implicit breakdowns. Mark Kritzman et al., 2010 proposed index of Absorption Rate as a system risk measurement tool. Research results of the authors and some other studies show that: 1. The sharp decline of the US stock market against the soaring rate of absorption; 2. Stocks devalued significantly after the rate of absorption increased and then p lummeted; 3 . Absorption rate is a leading indicator of the US housing market bubble; 4. Increased absorption rate has a system of market turmoil; 5. The time of major financial crisis coincided with a large change of this rate; 6. Absorption rate contains a large proportion of information about structural models and complex calculations of financial s pread. This article introduces and tests the use of absorption rate to analyze the volatility of the Vietnam stock market. The analysis will focus on a number of periods with different market fluctuations. Experiment uses absorption rate index for a pricing model.
The studies by Davis B, Summers M (2015), and E. Dale (1969) showed that learners can remember 20% of what they listen, 30% of what they see and as high as 90% of what they simulate. While training institutions have not had conditions to coordinate with enterprises to train together with practice, simulation system or virtual reality can create the second perfect scenario for learners to interact with different people in and out of that environment. Based on Davis B, Summers M (2015), E. Dale (1969), experience in using a variety of learning and teaching methods in e-commerce major and working with enterprises, the authors propose the establishment of simulated electronic markets for effectively deploying the â€œlearning by doingâ€ method as well as for the research and application of e-commerce models and solutions via simulation systems. The results, discussions and proposal for simulated electronic markets are summarized in this paper.
Vegetables are indispensable foods in people's daily meals. Today, with the improvement of living standard, the demand for fruits and vegetables increases not only in terms of quantity but also quality. Thus, the emergence of modern sales channels such as supermarkets and convenience stores for consumersâ€™ greater access to clean, safe and convenient vegetables is inevitable. The objective of this study is to determine the factors influencing the decision to choose supermarket channels when buying fruits and vegetables of consumers in Nha Trang. Based on qualitative and quantitative research methods, this study proposes a model consisting of eight factors. The final result showed that 6 factors affect the decision of the consumers, including: Technical characteristics, convenient location, characteristics of the shop, promotions, health concerns and trust. This is one of the important bases in proposing solutions to attract and increase the number of consumers buying vegetables at supermarkets.
Vietnam has three national science and technology parks (STP) and several local and specialized ones. In fact, the activities of STPs show that they have made great contributions to technology transfer and regional economic development. Building an STP is a trend and even a difficult alternative to the needs and policies of knowledge-based economic development, but they are not well-known. This paper, therefore, identifies and recommends some policy implications for the establishment and improvement of the STPs in Vietnam. This paper focuses on some key issues such as the existing models of STPs, their successful factors as well as effective approaches of STPsâ€™ ownership and management.