scholarly journals Contemporary Issues in Business and Economics in Vietnam and Other Asian Emerging Markets

2020 ◽  
Vol 13 (6) ◽  
pp. 109
Author(s):  
Chia-Lin Chang ◽  
Duc Hong Vo
Keyword(s):  
Emerging Markets ◽  
Financial Distress ◽  
Fiscal Decentralization ◽  
Exchange Rate Regime ◽  
The United States ◽  
Ho Chi Minh City ◽  
Asian Region ◽  
Emerging Issues ◽  
Asian Emerging Markets ◽  
Agricultural Shocks

This Special Issue publishes high quality papers on contemporary issues in business and economics in Vietnam and other Asian emerging markets. These papers were accepted and presented at the 2019 Vietnam’s Business and Economics Research Conference (VBER2019) organized by Ho Chi Minh City Open University, Vietnam in July 2019. Emerging issues in business and economics from Vietnam and other emerging markets in the Asian region have been addressed from various angles, from economics, finance, and statistics to management science. Five out of the 14 studies in this book were conducted to investigate various issues in relation to the Asian region such as the exchange rate regime in Asia, financial inclusion, and financial development and income inequality in Asian emerging markets. Seven studies were conducted in response to emerging business and economic issues in Vietnam such as fiscal decentralization, urbanization, foreign direct investment, and corporate financial distress. Other papers even considered various relevant aspects from the United States and Europe to the Asian region including double taxation treaties and agricultural shocks to the oil price. The findings from these papers are useful for practitioners, policymakers, and academics.

scholarly journals The effects from the United States and Japan to emerging stock markets in Asia and Vietnam

2020 ◽  
Author(s):  
AISDL
Keyword(s):  
United States ◽  
Emerging Markets ◽  
Stock Prices ◽  
Stock Markets ◽  
Spillover Effect ◽  
Spillover Effects ◽  
The United States ◽  
The Philippines ◽  
Asian Emerging Markets ◽  
The U.S

The subprime mortgage crisis in the United States (U.S.) in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study.

Structural Breaks in Volatility Transmission from Developed Markets to Major Asian Emerging Markets

2019 ◽  
Vol 18 (2) ◽  
pp. 172-209 ◽  
Author(s):  
Dilip Kumar
Keyword(s):  
Emerging Markets ◽  
Structural Breaks ◽  
Global Financial Crisis ◽  
Spillover Effect ◽  
Spillover Effects ◽  
The United States ◽  
Jel Classification ◽  
Volatility Transmission ◽  
Developed Markets ◽  
Asian Emerging Markets

The study investigates the volatility transmission from developed markets (the United States [US], the United Kingdom [UK] and Japan) to the major Asian emerging markets (India, China, Malaysia, Thailand and Indonesia) during a period from 1996 to 2015. We make use of the opening, high, low and closing prices to estimate unbiased extreme value volatility estimator and implement heterogeneous autoregressive distributed lag (HAR-DL) framework to study the spillover effects. Based on time-varying spillover analysis, we observe sudden changes in the spillover effect during the periods of major crises. Initially, we find evidence of contagion during the period of global financial crisis of 2007–2009. However, after accounting for conditional heteroscedasticity, we observe a decline in the strength of volatility transmission from developed markets to the Asian emerging markets. Moreover, the initial evidence of contagion is not detectable anymore. We also test the economic significance of the findings by implementing three trading strategies based on risk averse and risk-taking investors that make use of the forecasted variance based on HAR-DL specification. Our findings indicate that substantial average annualised gains in returns can be earned based on the lagged volatility components of the USA and the UK. JEL Classification: C32, C58, G01, G15

scholarly journals The effects from the United States and Japan to emerging stock markets in Asia and Vietnam

2020 ◽  
Vol 3 (4) ◽  
pp. 438-448
Author(s):  
Nguyen Thi Ngan ◽  
Nguyen Thi Diem Hien ◽  
Hoang Trung Nghia
Keyword(s):  
United States ◽  
Emerging Markets ◽  
Stock Prices ◽  
Stock Markets ◽  
Spillover Effect ◽  
Spillover Effects ◽  
The United States ◽  
The Philippines ◽  
Asian Emerging Markets ◽  
The U.S

The subprime mortgage crisis in the United States (U.S.) in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study.

scholarly journals The effects from the United States and Japan to emerging stock markets in Asia and Vietnam

2020 ◽  
Author(s):  
Nguyen Thi Ngan
Keyword(s):  
United States ◽  
Emerging Markets ◽  
Stock Prices ◽  
Stock Markets ◽  
Spillover Effect ◽  
Spillover Effects ◽  
The United States ◽  
The Philippines ◽  
Asian Emerging Markets ◽  
The U.S

The subprime mortgage crisis in the United States (U.S.) in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study.

scholarly journals Predicting Firms’ Financial Distress: An Empirical Analysis Using the F-Score Model

2021 ◽  
Vol 14 (5) ◽  
pp. 199
Author(s):  
Mahfuzur Rahman ◽  
Cheong Li Sa ◽  
Md. Abdul KaiumMasud
Keyword(s):  
Prediction Model ◽  
Financial Distress ◽  
The United States ◽  
Research Database ◽  
Negative Consequences ◽  
Return On Assets ◽  
Listed Firms ◽  
Distressed Firms ◽  
Score Model ◽  
Relationship Of

Financial performance of firms is very important to bankers, shareholders, potential investors, and creditors. The inability of firms to meet their liabilities will affect all its stakeholders and will result in negative consequences in the wider economy. The objective of the study is to explore the applicability of a distress prediction model which uses the F-Score and its components to identify firms which are at high risk of going into default. The study incorporates a prediction model and vast literature to address the research questions. The sample of the study is collected from publicly listed firms of the United States. In total, 81 financially distressed firms wereextracted from the UCLA-LoPucki Bankruptcy Research Database during 2009–2017. This study found that the relationship of the F-Score and probability of firms going into financial distress is significant. This study also demonstrated that firms which are at risk of distress tend to record a negative cash flow from operations (CFO) and showed a greater decline in return on assets (ROA) in the year prior to default. This study extends the existing literature by supporting a model which has not been widely used in the area of financial distress predictions.

scholarly journals Liquidity Synchronization, Its Determinants and Outcomes under Economic Growth Volatility: Evidence from Emerging Asian Economies

Risks ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 43
Author(s):  
Syeda Hina Zaidi ◽  
Ramona Rupeika-Apoga
Keyword(s):  
Economic Growth ◽  
Emerging Markets ◽  
Interest Rates ◽  
Emerging Market ◽  
The Philippines ◽  
Country Level ◽  
Market Index ◽  
High Inflation ◽  
Asian Emerging Markets ◽  
Growth Volatility

This study investigates the country-level determinants of liquidity synchronization and degrees of liquidity synchronization during economic growth volatility. As a non-diversifiable risk factor, liquidity co-movement shock spreads market-wide and thus disrupts the overall functioning of the financial market. Firms in Asian markets operate in legal and regulatory environments distinct from those of firms analyzed in the previous literature. Comprehensive analyses of liquidity synchronicity in emerging markets are limited. A major knowledge gap pertaining to Asian emerging markets serves as the primary motivation for this study. Seven Asian emerging economies are selected from the MSCI emerging market index: Bangladesh, China, India, Indonesia, Malaysia, Pakistan and the Philippines for analysis from 2010 to 2019. The empirical findings show high levels of liquidity synchronicity in weaker economic and financial environments with low GDP growth, high inflation and interest rates and underdeveloped financial systems taking the form of low levels of private credit. Liquidity synchronicity is also affected by poor investor protection, political instability, weak rule of law and government ineffectiveness. Moreover, levels of liquidity synchronicity are higher in a period of economic growth volatility.

Conditional beta: Evidence from Asian emerging markets

2011 ◽  
Vol 22 (2) ◽  
pp. 130-153 ◽  
Author(s):  
Robert B. Durand ◽  
Yihui Lan ◽  
Andrew Ng
Keyword(s):  
Emerging Markets ◽  
Conditional Beta ◽  
Asian Emerging Markets
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