Global evidence on macroeconomic variables and corporate money policy

Subject. This article analyzes the changes in poverty of the population of the Russian Federation. Objectives. The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods. For the study, I used the methods of logical, comparative, and statistical analyses. Results. The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance. The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.

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Research Paper on Impact of Macroeconomic Variables on Mutual Funds in India

MERI-Journal of Management & IT ◽

10.25089/meri/2017/v10/i2/151160 ◽

2017 ◽

Vol 10 (2) ◽

Author(s):

Kavita ◽

J. S. Pasricha

Keyword(s):

Mutual Funds ◽

Research Paper ◽

Macroeconomic Variables

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Macroeconomic Factors and Pakistani Equity Market”

The Pakistan Development Review ◽

10.30541/v43i4iipp.619-637 ◽

2004 ◽

Vol 43 (4II) ◽

pp. 619-637 ◽

Cited By ~ 11

Author(s):

Muhammad Nishat ◽

Rozina Shaheen

Keyword(s):

Stock Market ◽

Industrial Production ◽

Stock Prices ◽

Stock Price ◽

Consumer Price Index ◽

Reverse Causality ◽

Macroeconomic Factors ◽

Macroeconomic Variables ◽

Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

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