scholarly journals The Effects of Housing Price on Unemployment Rate and Stock Market

2021 ◽  
Vol 12 (5) ◽  
pp. 131-137
Author(s):  
Nan Sun ◽  
Keyword(s):  
Stock Market ◽  
Unemployment Rate ◽  
Housing Price

Labor Market and Household Debt in Asia Pacific Countries: Dynamic Heterogeneous Panel Data Analysis

2019 ◽  
Vol 10 (02) ◽  
pp. 1950011 ◽  
Author(s):  
Suhal Kusairi ◽  
Suriyani Muhamad ◽  
M Musdholifah ◽  
Shu-Chen Chang
Keyword(s):  
Labor Market ◽  
Panel Data ◽  
Labor Force ◽  
Unemployment Rate ◽  
Panel Data Analysis ◽  
Housing Price ◽  
Asia Pacific ◽  
Household Debt ◽  
Dependency Ratio ◽  
Long Run

An overwhelming increase in household debt in the last decade has stirred researchers to explore the determinants of this phenomena, especially the role of the labor market. This paper comes to identify these determinants using the macro panel data from Asia Pacific countries for 1994–2016 and dynamic heterogeneous panel data analysis. The empirical results found that household consumption, housing price index, and labor force have a long-run positive relationship with household debt. In contrast, the unemployment rate and dependency ratio have a long-run negative relationship with household debt. This implies that when consumption, housing price, and labor force increase, then the household debt will increase, and when the unemployment rate and dependency ratio increase, the household debt will decrease. Also, in the short-run, public debt does affect private consumption, and it is not different among countries. The labor market, as represented by the unemployment rate, dependency ratio, and labor force, has a strong effect on the household debt in the long-run. Based on these findings, the government should pay more attention to the household debt related to property and commodity markets because they expose the short-run volatility and create problems for the long-term.

scholarly journals A Comparative Analysis on the Wealth Effect between in the Stock Market and in the Housing Market in China

2017 ◽  
Vol 9 (11) ◽  
pp. 118
Author(s):  
Lin Liu ◽  
Kai Shi
Keyword(s):  
Stock Market ◽  
Housing Market ◽  
Housing Price ◽  
Wealth Effect ◽  
Wealth Effects ◽  
Chinese Stock Market ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
The Status ◽  
Lag Model

In this article, a threshold cointegration test within the framework of Autoregressive Distributed Lag model suggested by Li and Lee (2010) was employed to quantify the wealth effects in Chinese stock market and domestic housing market. The time-varying features of wealth effects in these two markets were investigated through rolling regression test. The empirical results show that the substitute effect exists in the status of strong market while the wealth effect exists in the status of weak market. It is noteworthy that the wealth effect in the stock market shows an increasing trend while the wealth effect in the housing market reveals a stable trend. The policy implication is that the authority should properly strengthen the regulation in the stock market and curb the rise of housing price when the markets are in the strong status while should increase the disposable income for residents if the markets are in the weak status.

scholarly journals The Market Crash and Mass Layoffs: How the Current Economic Crisis May Affect Retirement

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Courtney C Coile ◽  
Phillip B Levine
Keyword(s):  
Labor Market ◽  
Stock Market ◽  
Economic Crisis ◽  
Unemployment Rate ◽  
Housing Markets ◽  
Home Equity ◽  
Market Conditions ◽  
Stock Market Returns ◽  
Long Run ◽  
Current Economic Crisis

Abstract Recent dramatic declines in U.S. stock and housing markets have led to widespread speculation that shrinking retirement accounts and falling home equity will lead workers to delay retirement. Yet the weakness in the labor market and its impact on retirement are often overlooked. If older job seekers have difficulty finding work, they may retire earlier than expected. The net effect of the current economic crisis on retirement is thus far from clear. In this paper, we use 30 years of data from the March Current Population Survey to estimate models relating retirement decisions to fluctuations in equity, housing, and labor markets. We find that workers age 62 to 69 are responsive to the unemployment rate and to long-run fluctuations in stock market returns. Less-educated workers are more sensitive to labor market conditions and more-educated workers are more sensitive to stock market conditions. We find no evidence that workers age 55 to 61 respond to these fluctuations or that workers at any age respond to fluctuating housing markets. On net, we predict that the increase in retirement attributable to the rising unemployment rate will be almost 50 percent larger than the decrease in retirement brought about by the stock market crash.

scholarly journals Macro-Economic Variables and Stock Prices: Empirical Evidence From Sri Lanka

2019 ◽  
Vol 9 (4) ◽  
pp. 148
Author(s):  
S. Anandasayanan
Keyword(s):  
Interest Rate ◽  
Sri Lanka ◽  
Stock Market ◽  
Unemployment Rate ◽  
Stock Prices ◽  
Emerging Market ◽  
Series Data ◽  
Economic Variables ◽  
Macroeconomic Variables ◽  
The Impact

Economic strength in a country could be measured by macroeconomics variables. Inflation, interest rate, unemployment rate and GDP Deflator are some macroeconomics variables that show economic condition in Sri Lanka. The impact of macro-economic variables on share prices is uncontrollable. This study investigates the relationship between macroeconomic variables and stock prices in Sri Lankan stock market using yearly time series data for the period from 1990 to 2017. The Ordinary Least Square regression was carried out using four macroeconomic variables for stock prices. The results shows that the higher R Square value (72.4911) which justifies higher explanatory power of macroeconomic variables in explaining stock prices. Consistent with similar results of the developed as well as emerging market studies, interest rate and inflation rate and unemployment rate react mainly negatively to stock prices in the Colombo Stock Exchange. These findings hold practical implications for policy makers, stock market regulators, investors and stock market analysts.

Predicting Stock Market Performance

2020 ◽  
pp. 1-10
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter
Keyword(s):  
Stock Market ◽  
Risk Taking ◽  
Life Stress ◽  
Price Volatility ◽  
Individual Characteristics ◽  
Self Report ◽  
Financial Behavior ◽  
Market Simulation ◽  
Stock Market Performance ◽  
Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

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