scholarly journals Monetary Policy and Liquidity of Vietnam’s Stock Market

2016 ◽  
Vol 23 (02) ◽  
pp. 02-21
Author(s):  
Ly Tran Thi Hai

This study investigates the impact of monetary policy on liquidity of Vietnam’s stock market from September 2007 to November 2014. Time series of liquidity are determined by monthly liquidity data for 643 enterprises in the surveyed period. Two variables of the monetary policy, including growth in money supply and interbank rate, are employed in VAR model along with four different measures of market liquidity. The results show that unexpected variance in the two monetary policy variables has no significant impact on the market liquidity, which, in turn, may be improved by the positive shocks of market returns, inflation, and growth in industrial production. Market variance does produce certain effects, but discrepancies occur in the signs of various liquidity measures.

Author(s):  
Tariq Aziz ◽  
Jahanzeb Marwat ◽  
Sheraz Mustafa

The paper provides an updated evidence of the linkage between stock market and macroeconomic factors in Pakistan. The sample period is from January 2011 to November 2017. Macroeconomic variables used are money supply, exchange rate, treasury bill rate, inflation and industrial production. Generalized autoregressive conditional heteroscedasticity (GARCH) models have been used to examine the impact of macroeconomic factors on stock market return and stock market volatility. Findings suggest that macroeconomic factors have an impact on stock market volatility. The fluctuations in inflation and money supply negatively influence the volatility of stock market returns. In contrast, industrial production positively affects the fluctuations of stock market returns. The findings are important for shareholders, investors, regulatory authorities and policymakers.


Author(s):  
Vladimír Pícha

This paper observes effect of money supply on the stock market through the portfolio balance channel as a transmission mechanism of monetary policy. National flow of funds accounts, specifically assets from US households’ portfolios, represent a key data source. Johansen’s cointegration methodology is employed in the empirical part of the paper to analyze both short term and long term relationships among researched variables. Estimates of vector error correction model help to reliably quantify intensity of the effect. Results show money supply excercises influence on valuation of S&P 500 index with 6 months lag. The impact is also distinguishable in the long run, whereas all observed asset classes can positively influence price of S&P 500. Findings are then contextualized in the concluding part of the paper using a monetary policy framework.


2021 ◽  
Vol 8 (2) ◽  
pp. 33
Author(s):  
Christian A. Conrad

What is the impact of interest rate and monetary policy on the stock market? Some studies find a positive impact of expansive monetary policy on stock prices others prove the opposite. This paper examines the effects of monetary expansion and interest rate changes on investment behavior on the stock market by illustrating two behavioral experiments with students. In our experiments the increase of money supply and the decrease of interest rates had a direct positive impact on share prices. These findings support the hypothesis that extreme expansive monetary policy with low, zero or negative interest rates encourage financial bubbles on the stock market. To avoid a crash the exit from such a policy must be slow. As happened in 1929, crashes can damage the financial system and the real economy. Central banks must take this into account in their monetary policy.


2009 ◽  
pp. 145-180
Author(s):  
Oreste Napolitano

This paper explore, using Markov switching models, the dynamic relationship between stock market returns and the monetary policy innovation in 11 EUM countries and, for five of them, at each single industry portfolios. It also investigates the possibility of asymmetric effects of the ECB decision when stock markets are not fully integrated. The findings indicate that there is statistically significant relationship between policy innovations and stock markets returns. The findings from country size and industry portfolios indicate that monetary policy has larger asymmetric effect on the industry portfolios of big countries (Italy, France and Germany) compared to the same sectors of small countries (Netherlands and Belgium).


2014 ◽  
Vol 6 (8) ◽  
pp. 636-646 ◽  
Author(s):  
Flavien Fokou Noumbissie

Like in many other countries, the South African financial market facilitates the process of raising capital by channelling funds to more productive economic activity, thereby building the nation's economy while enhancing job opportunities and wealth creation. The aim of this paper is to assess the impact of monetary policy on financial market in South Africa. It is important to constantly look into this interaction since policy decisions have a direct influence on financial market. A negative response from the market side may jeopardise economic stability. The study uses the vector autoregressive (VAR) model to evaluate the impact of monetary policy on financial market in South Africa. The model consists of five policy instruments as variables; namely: money supply (M3), real exchange rate(ER), discount Rate (R), consumer price index (CPI), gross domestic product (GDP) and the two market related variables: Stock market turnover (S) and Bond market turnover (B). Data is obtained from SARB and OECD databases for a period of 53 quarters from 2000:Q1 to 2013:Q1. By the use of impulse response function (IRF), the study found that given current economic situation in South Africa, stock market turnover reacts positively to money supply; discount rate; real exchange and GDP shocks. On the other hand stock market turnover reacts negatively to CPI economic shocks. To correct CPI negative impact on markets, we suggest that the policymakers could envisage a contractionary monetary policy translated by a proportional cut in money supply through the sales of government securities.


2011 ◽  
Vol 9 (3) ◽  
pp. 100
Author(s):  
James P. LeSage ◽  
Andrew Solocha

This study provides evidence concerning the impact of anticipated and unanticipated components of the weekly money supply announcements on stock market returns in the United States and Canada on the date after the announcement. The innovative aspect of this study is the use of a multiprocess mixture model recently proposed by Gordon and Smith (1990) for modeling time series that are subject to several forms of potential discontinuous change and outliers. The technique involves running multiple models in parallel with recursive Bayesian updating procedures which extend the standard Kalman filter. The results provide strong evidence in favor of the efficient markets hypothesis that only the unanticipated component of the money supply announcement influences the stock market returns in both the United States and Canada.The use of OLS estimated in the present study produces results which suggest that both anticipated and unanticipated components of the money supply announcement exert a statistically significant influence on stock market returns in both countries. In contract, the multiprocess mixture model estimation method produces results which support the efficient markets hypothesis. The difference in findings between OLS and multiprocess estimation methods is attributed to the ability of the multiprocess techniques to model discontinuous structural shifts in the parameters and accommodate outliers in the stock return-weekly money relationship. The multiprocess mixture method provides evidence that numerous discontinuities and outliers exist in the stock market returns-weekly money relation and produces posterior probabilities for the multiple models running in parallel. These probabilities suggest that the OLS model has low posterior probability relative to the structural shift and outlier models which suggest poor inferences regarding the significance of anticipated and unanticipated money arise from the use of OLS estimation techniques.


2021 ◽  
Vol 6 (2) ◽  

The countries in the sample are of special importance, as they have different rates of growth, different important characteristics of the financial system and levels of stock market progress. The research looks on equity market growth and measures its foreign economic effect, not in terms of profitability to investors (not beyond the scope of our study), but in terms of progress relative to the scale of these economies and the capital expenditure fund needs of those countries. The data used in this study were taken from GCC's monthly time series over the 2008-2018 period. Such factors are actual interest rates, global development level, commodity market returns on commodities and the true price of oil (in US dollars). Thomson Reuters DataStream, Bloomberg and OECD database gather data for this study. For this study, the actual interest rate was selected as this element illustrates market swings. The Industrial Production Index has defined it since the overall energy consumption in an economy is calculated by the amount of products and services generated in the region. The research implemented and econometric approach throughout addressing data from 2008 till 2018 which means 10 years to study the impact of oil prices, exchange rates and their impact on stock market, case Saudi Arabia. The key results showed that the contemporary and postponed impacts on economic development in either capital market liquidity, as measured by turnover or economic change, as measured by the institutional efficiency index. The relationship predictor (investment / Turnover ratio) was seen for the Arab countries to have an important result from the robustness measure. Implementing the strategy of gross capital expenditure expansion and the turnover partnership will lead to a positive impact on the connection between country expenditure and stock market liquidity during the competitive growth model.


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