Interest Rate, Unemployment Rate, and Housing Market in U.S.

The purpose of this paper is to investigate the relationships among the variables, and how interest rate, unemployment, stock market, and consumer confidence affect housing market index （HM1） in the U.S.. We construct vector autoregression （VAR） model with variables such as unemployment rate （UMR）, consumer confidence index （CCI）, the Dow Jones industrial index （DJI）, and interest rate, etc., to forecast the HMI. Our model and analysis show that U.S. HMI very sensitive to unemployment and interest rates. Every 1% moves in unemployment and interest rates will result in HMI to move in the opposite direction by 11.7% and 11.4% respectively. However, changes in CCI and stock mark index have only minor impacts on HMI--0.49% and 0.3%, changes for 1% fluctuation in CCI and DJI. Our research also shows that relationships among these variables associated with housing market are very stable in the long run.

Interference of Local Government, Industrial Concentrative Rate and Corporate Diversification

This paper studies the effects of internal and external environments on the strategic decision-making of diversification using the cross-sectional data of China＇s 1 033 non-financial listed companies in Shenzhen and Shanghai Exchange. Corporate external-environment is substituted by index of marketization and market concentrative rate, and internal-environment is substituted by governance framework and financial status. The multi-regression analysis shows that the strategic decision-making of diversification is prominently affected by external factors such as index of marketization and market concentrative rate, and is significantly negative related to the proportion of state-owned shares and corporate shares. There is no correlation between diversification and whether directors hold concurrently, or manager compensation, cash flow, and debt ratio.

Impact of Exchange Rate Threshold Level on Stock Market Performance- Evidence from Ghana

The exchange rate plays a significant role in an economy and also the purpose of this study is to examine the impact of exchange rate threshold level on the capital market performance.The study used a Threshold Autoregressive model introduced by[24]and[12].The study used quarter-time series data for thirty years from 1990 to 2019.The capital market performance was measured by the value of shares traded;market turnover;market capitalization and all-shares index.However,the results unconcealed the subsequently estimated threshold level of exchange rate for every performance indicator:7.94%;25.33%;25.33%,and 7.80%respectively.In all,the threshold level of the exchange rate estimated was 8 and 25 percent.The findings suggest that a low rate is performance-enhancing.Additionally,the exchange rate above the threshold level is harmful to the capital market performance.The findings of this investigation may be helpful to the government of Ghana and policymakers as they decide on an exchange rate target to implement to avoid the prejudicious effects of high exchange rates whereas getting the growth advantages of the low exchange rate.The finding of the study shows that the exchange rate impacts the economy more than inflation however,not many works in the subject area have been done in Sub-Saharan Africa.Therefore,I suggest that more threshold studies ought to be meted out on the exchange rate in the other sectors of the economy to determine its impact on the economy.