Autoregression models

Part 2 of ebook "Economic and financial modelling with EViews: A guide for students and professionals" provides readers with contents including: Chapter 8 - Modelling volatility in finance and economics - ARCH, GARCH and EGARCH models; Chapter 9 - Limited dependent variable models; Chapter 10 - Vector autoregression (VAR) model; Chapter 11 - Panel data analysis; Chapter 12 - Capital asset pricing model (CAPM);...

139p daonhiennhien 03-07-2024 4 2   Download

Part 1 of ebook "Essentials of time series for financial applications" provides readers with contents including: Chapter 1 - Linear regression model; Chapter 2 - Autoregressive moving average (ARMA) models and their practical applications; Chapter 3 - Vector autoregressive moving average (VARMA) models; Chapter 4 - Unit roots and cointegration; Chapter 5 - Single-factor conditionally heteroskedastic models, ARCH and GARCH;...

244p daonhiennhien 03-07-2024 3 1   Download

This paper investigates the impact of the pandemic on the Vietnamese stock market (VNX). Historically, pandemics have often caused major disruptions to the economies of many countries, and stock markets are quick to reflect these impacts. The pandemic has created major challenges for the VNX, even though Vietnam has successfully controlled the pandemic. This paper uses the Vector Autoregression (VAR) method to quantify the impact of on the VNX. The VAR model is used to analyze the dynamic interactions between time series variables.

12p leminhvu111 07-06-2024 1 0   Download

This article analyzes the impact of macroeconomic factors on private sector investment in Vietnam during the period from 1996 to 2022 by applying an autoregressive distributed lagged (ARDL) model. Findings revealed that real GDP and credit to the private sector have a positive effect on the private sector in Vietnam. This demonstrates that higher GDP growth boosts confidence among private enterprises that they can afford to pay off loans and subsequently increase their investment demand.

10p leminhvu111 07-06-2024 0 0   Download

This study developed a statistical model for thermal analysis to describe the variation of railway temperature that aids in detecting the potential excessive displacement in the railway efficiently. In particular, the Seasonal autoregressive integrated moving average (SARIMA) model is adopted to learn and recognize the variation patterns of railroad temperature with time.

5p dathienlang1012 03-05-2024 4 0   Download

This study compares the accuracy of two popular time series forecasting models, namely the autoregressive integrated moving average (ARIMA) model and the long short-term memory (LSTM) model, in predicting daily gold prices from 2000 to 2023. The ARIMA model is a traditional approach that relies on past values to forecast future values, while the LSTM model is a deep learning technique that captures long-term dependencies in time series data.

16p dathienlang1012 03-05-2024 0 0   Download

This paper focuses on exploring the dynamic relationship between real estate prices, government budget, and economic growth in the case of an emerging economy. Using quarterly data covering in the period of Q1/2008 to Q4/2018 with approximately 44 observations and applying the Autoregressive Distribution Lagged (ARDL) approach, results reveal that, in both the short-run and long-run, economic growth is highly affected by fluctuations of the present, and past economic growth. Besides, there exists a long-run relationship between government budget and economic growth.

9p longtimenosee06 27-03-2024 8 1   Download

This study has an effort to explore the dynamic relationship among income, exchange rate, foreign direct investment, effective supply chain practices and export performance. Based on quarterly data from Q2/2009 to Q4/2019, constituting 43 observations. To attain dynamic and unvarying relationship among these variables, applying Vector Autoregressive Model, results indicate that, in short run, each variable is highly influenced by changes of value and past value of its and the other variables at different degree.

8p longtimenosee06 27-03-2024 3 1   Download

Bài nghiên cứu nhằm đánh giá tác động của chỉ số điều kiện tài chính tới lạm phát ở Việt Nam bằng cách sử dụng mô hình phân phối trễ tự hồi quy (Autoregressive- Distributed Lag Model-ARDL), dựa trên bộ dữ liệu chuỗi thời gian từ tháng 1 năm 2013 đến tháng 12 năm 2022.

14p vioracle 25-09-2023 9 4   Download

This study attempts to apply the Autoregressive Distributed Lag (ARDL) model to examine the relationship between Vietnam three investment sources, Foreign Direct Investment (FDI) and Private Domestic Investment (PDI) as well as Foreign Direct Investment (FDI) and Public Investment (PI) in Vietnam over the period from 1995 to 2019.

14p viindra 06-09-2023 5 4   Download

The aim of this paper is to investigate the cointegration relationship of stock market index of ASEAN countries from April 2012 to December 2019. Using the Augmented Dickey Fuller Test, it finds that all of the stock market data are non-stationary. Trace tests are used to indicate the number of cointegration ranks in the long run. The results are supported by Vector Autoregression and Vector Error Correction Models in order to point out the short-run relationship between the change in value of a stock market index and the others.

13p nhanchienthien 25-07-2023 9 5   Download

The objective of this study is to examine the impact of macroeconomic factors on the performance of Vietnam Consumer Staples sector through its stock index in the period of January 2009 to December 2019. By using the Autoregressive Distributed Lag (ARDL) approach, the study examines the long-term relationship between macro factors and the Vietnam Consumer Staples stock index by the Bound and using error correction model (ECM) according to ARDL approach to determine short-term effects between them.

21p nhanchienthien 25-07-2023 10 4   Download

The author build and use the vector autoregressive model (VAR) to discover factors affecting the gold price in Vietnam and the impact of each factor. Data research used in this study were monthly data for the period December 2000 to December 2019, including 10 variables. The results show that the current gold price in Vietnam is mostly affected by its historical prices, and is also affected by four other factors: world gold price, investors’ expectations, foreign exchange rate, and M2 money supply.

15p nhanchienthien 25-07-2023 11 6   Download

The purpose of this paper is to investigate the effects of fossil fuel consumption, economic growth on carbon dioxide emissions in Vietnam. Using an autoregressive distributed lag model (ARDL model) on the data during the period over 1985-2013, collected from World Development Indicators, Department of Statistics in Vietnam. Evidence from the study shows the fossil fuel consumption of two years and four years before had, respectively, negative and positive statistically significant impact on this year carbon dioxide emissions.

14p nhanchienthien 25-07-2023 6 4   Download

The objective of this paper is to analyze the asymmetric effect of petrol prices on consumer prices in the Vietnamese market. The theoretical basis is developed from the theory of asymmetric price transmission (APT). The quarterly data is collected between Q1/2008 and Q4/2019, and the nonlinear autoregressive distributed lag (NL-ARDL) model is used as an analytical tool. The research results indicate that the gasoline price in the Vietnam market disproportionately affects consumer prices in both the short-run and long-term.

12p nhanchienthien 25-07-2023 7 4   Download

This study investigates the causality among export, foreign direct investment (FDI) inflows and economic growth in Vietnam using quarterly time-series data from 2000Q1 to 2017Q4. The vector autoregression (VAR) model is employed to explore the relationship among variables in the long term as well as the short term.

10p viwolverine 11-07-2023 7 3   Download

The widespread adoption of electronic health records allows us to ask evidence-based questions about the need for and benefits of specific clinical interventions in critical-care settings across large populations.

8p visteverogers 24-06-2023 6 2   Download

Rapidly evolving high-throughput technology has made it cost-effective to collect multilevel omic data in clinical and biological studies. Different types of omic data collected from these studies provide both shared and complementary information, and can be integrated into association analysis to enhance the power of identifying novel disease-associated biomarkers.

4p vihagrid 30-01-2023 5 3   Download

Cardiovascular disease (CVD) is one of the most serious health issues and the leading cause of death worldwide in both developed and developing countries. The risk factors for CVD include demographic, socioeconomic, behavioral, environmental, and physiological factors.

11p viferrari 28-11-2022 9 2   Download

To compare an autoregressive integrated moving average (ARIMA) model with a model that combines ARIMA with the Elman recurrent neural network (ARIMA-ERNN) in predicting the incidence of pertussis in mainland China. Background: The incidence of pertussis has increased rapidly in mainland China since 2016, making the disease an increasing public health threat.

11p viferrari 28-11-2022 8 2   Download