Download or read book The Relationship of Stock Prices and Macroeconomic Variables Revisited written by Muhammad Akbar and published by . This book was released on 2014 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study examines the relationships between the KSE100 index and a set of macroeconomic variables over sampling period in January 1999 to June 2008. Co-integration, Granger causality and error correction tests were used to analyze the relationship between stock prices (KSE100 index) and macroeconomic variables. The findings from the co-integrating tests suggested that stock prices and macroeconomic variables were co-integrated and that at least a uni-directional causality exists between the two sets of variables. The results further suggested that stock prices were positively related with money supply and short term interest rates and negatively related with inflation and foreign exchange reserves.

Download or read book Revisiting the Dynamic Relationship Between Macroeconomic Fundamentals and Stock Prices written by Deepa Mangala and published by . This book was released on 2017 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship between stock prices and macroeconomic variables varies across countries, time periods, datasets used, and the frequency of data used. Thus, an in-depth study to reinvestigate the relationship between selected macroeconomic variables i.e. inflation rate, exchange rate, index of industrial production, gold price, money supply and yields on treasury bills, and Indian stock market for the period of April 2005 to March 2014 has been carried out. In this study Johansen's cointegration test, vector error correction model (VECM), impulse response functions (IRFs), and variance decomposition (VDCs) test have been applied. The results of Johansen cointegration test indicates a significant negative relationship between exchange rate, inflation rate, and index of industrial production with stock prices whereas there exists a significantly positive relationship of money supply and yield on treasury bills with stock prices. Vector error correction model helps to determine both short and long run causal relationship between macroeconomic variables and stock price. The results found short run causality runs from exchange rate to Nifty, Nifty to money supply, and inflation rate whereas long run causality found from Nifty to short term interest rate and money supply.

Download or read book Changes in Macroeconomic Variables and Their Impact on Stock Price Indices A Case Study of the Financial Times Stock Exchange FTSE and Johannesburg Stock Exchange JSE Indices written by Kudzanai Chakona and published by GRIN Verlag. This book was released on 2022-11-07 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (undergraduate) from the year 2017 in the subject Business economics - Investment and Finance, Birmingham City University, course: MSc Accountancy and Finance (ACCA), language: English, abstract: The purpose of this study is to analyse the changes in macroeconomic variables and evaluate the impact on a company’s stock prices, by examining the impact of changes macroeconomic variables, determining which macro-economic variables that have the least and most impact on stock prices and also suggest ways in which the impact on the macroeconomic variables on stock prices can be hedged against using agricultural futures, metal futures or a risk-free asset. The study will use five econometric models to test this impact, these include the Granger Causality test, Johansen Co-Integration test, Vector Error Model, Walt Test statistic, Multiple Regression Model. A review of a number of academic literature by notable analysis for both developed and developing markets will be provided. The FTSE share price index will be used in the study to represent the developed markets and the JSE share price index will be used in the study to represent the developing markets.

Download or read book The Relationship Between Stock Prices and Macroeconomic Variables in Selected Asian Markets written by Hsien Hui Sim and published by . This book was released on 2000 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Do MacRoeconomic Variables Have an Effect on the Us Stock Market written by Dennis Sauert and published by GRIN Verlag. This book was released on 2010-10 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2010 in the subject Economics - Case Scenarios, grade: 1.0, Berlin School of Economics, language: English, abstract: The objective of this paper is to examine whether the unanticipated change of specific macroeconomic variables influences the US stock market represented by the S&P 500 using monthly data from 1986 to 2007. Thereby, the performance of the arbitrage pricing theory of Ross (cp. Ross, S., 1976) shall be studied. To explain the behavior of the US stock market return the paper contains the five predefined variables consumer price index (CPI), industrial production index (IPT), money stock M1 (M1), total consumer credit outstanding (TCC) and the term structure of interest rates (Term) which are approximately similar to those variables used by Ross (cp. Chen N. F. et al., 1986, pp. 383-403). Applying the OLS method, it was found that CPI, IPT and Term are negatively related to the US stock return. It was also detected that M1 affects the stock market lagging 8 months and 12 months. However, the test statistics showed that TCC has rather no impact on the US stock market return. To ensure that the ultimate results are not spurious, care will be taken in regards to autocorrelation, multicollinearity, serial correlation as well as heteroskedasticity.

Download or read book MacRoeconomic Variables and Stock Return Volatility written by Shahzad Anjum and published by LAP Lambert Academic Publishing. This book was released on 2012-04 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing importance of Stock markets around the world has recently opened a new avenue of research into the relationships between Stock Market and Macroeconomic Variables. It is now a highly debatable area that stock market contributes to economic growth or the other way economic growth contributes to stock market. Researchers continuously make efforts on defining the relationship of stock market and macroeconomic variables. It has now become more difficult to define the relationships between them in the context of increased scarcity of resources, bilateral and multilateral free trade agreements, economic crises, rapidly changing political scenarios and high uncertainty and risks due to world wide terrorist activities. This book provides an insight into the stock market of Pakistan with special focus on macroeconomic variables like inflation, GDP etc effecting the Karachi Stock Exchange (KSE).

Download or read book Stock Market Equilibrium and Macroeconomic Fundamentals written by Lamin Leigh and published by International Monetary Fund. This book was released on 1997 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, there has been a resurgence of research interest in the role played by stock markets in developing countries. The International Finance Corporation (IFC) in Washington has set up the Emerging Markets Study Group particularly devoted to the understanding of the relationship between the development of stock markets and the functioning of financial intermediaries and its overall effect on growth. This paper examines the efficiency characteristics of the Stock Exchange of Singapore (SES) and its role in the economy.

Download or read book Long Run Relationship Between Aggregate Stock Prices and Macroeconomic Factors in BRICS Stock Markets written by Vanita Tripathi and published by . This book was released on 2016 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper comprehensively examines the long run relationship between aggregate stock prices and select macroeconomic factors (i.e., GDP, Inflation, Interest Rate, Exchange Rate, Money Supply and International Oil Prices) in the emerging BRICS markets over the period 1995 to 2014 using quarterly data. To assess the impact of global financial crisis on this relationship, we consider two sub periods viz., a Pre Crisis period (1995:Q1 to 2007:Q2) and a Post Crisis Period (2007:Q3 to 2014:Q4). Long Run Granger Causality Test, Johansen's Cointegration Test (both Bivariate & Multivariate) and Vector Error Correction Mechanism (VECM) are applied. Overall, we find that there is unidirectional long run causality from Stock prices to GDP, Inflation & Interest Rate. A bidirectional long run causal relationship of Stock prices is found with Money Supply and Oil Prices. Also, the long run granger causal relationship differs significantly between pre and post crisis periods for all the macroeconomic variables. Johansen's Cointegration results suggest presence of long run equilibrium relationship between BRICS Stock prices and select Macroeconomic Factors (except Inflation and Oil Prices). There was no major difference in cointegration results in pre and post crisis periods except for Inflation and Interest rate, implying that global financial crisis has led to greater long run integration of stock market with the real economy. VECM results indicate that error correction to restore equilibrium is more in stock market than in macroeconomic factors. Thus, in times of any destabilisation or disequilibrium in long run the real economy leads the stock market to a new equilibrium. These findings, besides augmenting the empirical literature and knowledge domain on the topic, have significant implications for policy makers, regulators, academicians, researchers and investment community particularly in emerging markets.

Download or read book The Relationship Between Stock Market and Macroeconomic Policy Variables written by Sisangile Nduna and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Relationship Between Stock Market and Macroeconomic Variables written by Shaoying Chang and published by . This book was released on 2008 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Effects of Macroeconomic Variables on Stock Prices Conventional Versus News Models written by John Vaz and published by . This book was released on 2011 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock prices are usually analysed and explained in terms of underlying financial indicators, such as earnings per share or dividend payout ratios. Nevertheless, fluctuations in the conditions of the economy can result in changes in demand, which can impact on profits and dividends. Since macroeconomic variables affect financial indicators it follows that macroeconomic variables affect stock prices. If markets are rational and efficient, then stock prices will reflect all known information regarding macroeconomic factors that are perceived to affect stock prices. It follows that stock prices should not change significantly unless there is a surprise or news about the state of the economy (as reflected in unexpected changes in macroeconomic variables). Intuitively, this implies that models of stock price determination based on news ought to be superior to conventional models that use the levels or changes in variables. The utilisation of news in research on stock prices is very limited. Two approaches have been traditionally used to represent the news in the absence of surveys of expectations: either by assuming announcements are news such as those in event studies or by using an econometric time series approach to extract the news components from total changes in the variables, as is the case with the news model. The majority of studies involving news models have been in the foreign exchange market using news estimated econometrically-very little has been done in estimating and testing a macro news model of stock prices and certainly nothing has been done on stock prices in developed economies such as Australia. Thus this research is motivated by the significant gaps in the literature with respect to the development, estimation and testing of a news model of stock prices. Most of the studies that investigate the relations between macro variables and stock prices have been carried out using conventional approaches by estimating models that use the variables in their levels. Some of the multivariable models of stock prices arise as a result of anomalies found in implementing the capital asset pricing model. Other multivariable approaches such as the arbitrage pricing theory (APT), due to Ross (1976), suggest that macro variables are useful, but APT is silent on the appropriate macroeconomic explanatory variables. Furthermore, there have been limited attempts to examine macroeconomic variables collectively, but not with the aim of developing a macro model of stock prices. This thesis presents the results of research that uses comprehensive econometric procedures to investigate which macroeconomic variables have significant effects on Australian stock prices and whether news about such variables can enhance the performance of conventional stock price determination models. Seven macroeconomic variables are examined: interest rates, inflation, the money supply, economic activity, commodity prices, exchange rates and a foreign stock market index to account for spill-over effects. This provides a valuable contribution to the understanding of the individual effects of macroeconomic variables on stock prices and adds to the limited literature regarding the usefulness of news in models of stock price determination. The results from this research demonstrate that although news is a theoretically sound and intuitively plausible basis for improving macro models of stock prices, in practice there is no ex-ante exploitation possible by estimating news utilising econometric methods. Simply put, news cannot be predicted-this is established by using three comprehensive methods of estimating news, which is the residual of a model fitted to the time series data of a particular variable.

Download or read book The Impact of Macroeconomic Variables on U S Stock Prices written by Shaoyi Chen and published by . This book was released on 2007 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Stock Market Index and MacRoeconomic Variables written by Shadee Sircar and published by LAP Lambert Academic Publishing. This book was released on 2012-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock market performance and macroeconomic variables are two very important set of indicators regarding a country s economy. Thus, finding and understanding the relationships present between these indicators may prove to be quite vital. Unfortunately most literature available on this subject matter is based on developed countries and these cases may not apply to developing countries. In order to shed light on the matter this paper investigates the causal relationships between the stock market index of developing countries and their macroeconomic variables based on the VECM framework. The countries Malaysia and Singapore are chosen for the purpose of this paper, where FTSE KLCI index and the FTSE STI index are used to represent the stock market performances respectively for each country. The four macroeconomic variables analyzed are Consumer Price Index (CPI), Industrial Production Index (IPI), 3 month T-bill rate (IR) and exchange rate against the US Dollar (ER). The findings and empirical work in this paper will be especially enlightening for academics or inspiring academics researching in this area. Also stock market practitioners may find this paper quite informative as well.

Download or read book Stock Market Performance and Macroeconomic Variables Theory and Critical Review of Literature written by Arnav Kumar and published by . This book was released on 2015 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: Relationship between stock market performance and macroeconomic variables has intrigued and is of pertinent importance to policy makers, regulators, academicians, researchers and investment community. This paper presents a comprehensive theoretical framework underpinning this relationship and also provides an extensive critical analysis of existing literature on the subject. Theory suggests that stock market performance has positive relationship with GDP, Money Supply, Industrial Production, Foreign Exchange Reserves, Balance of Trade, Net FPI and FDI Inflows. It is negatively related with Inflation, Interest Rate, Gold Price and Oil Prices. Relationship of stock market with exchange rate and fiscal deficit is not clear. Critical examination of literature on various bases suggests that while this relationship is clearly established for developed markets, there is no unanimity for this relationship regarding emerging markets. Also, while some prominent macroeconomic variables which affect stock market performance can be identified, an exhaustive list of macroeconomic variables cannot be drawn. There has been a shift in econometric methods applied from basic tools to more advanced second generation financial econometric techniques Future researches should focus on examining this relationship for emerging markets, consider a comprehensive set of macroeconomic and stock market performance variables, take a fairly long study period, apply modern financial econometric techniques, explore this relation at sectoral level and incorporate impact of recent global financial crisis in their study.

Download or read book The Impact of Macroeconomic Fundamentals on Stock Prices Revised written by Gurmeet Singh and published by . This book was released on 2016 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study investigates the relationships between the Indian stock market index (BSE Sensex) and five macroeconomic variables, namely, industrial production index, wholesale price index, money supply, treasury bills rates and exchange rates over the period January 2007 to March 2014. Johansen's co-integration and vector error correction model have been applied to explore the long-run equilibrium relationship between stock market index and macroeconomic variables. The analysis reveals that macroeconomic variables and the stock market index are co-integrated and, hence, a long-run equilibrium relationship exists between them. It is observed that the stock prices positively relate to the wholesale price index, money supply and interest rate but negatively relate to index of industrial production and exchange rate. The index of industrial production and the exchange rate are found to be insignificant in determining stock prices. In the Granger causality sense, there is bi-directional causality between exchange rate and stock market index and interest rate and stock market index. Interest rate causes stock market index in both long run and short-run. The findings show the evidence of causality from stock price index to wholesale price index in both long-run and short run but not other way around. Furthermore, it is observed from the findings that money supply causes stock prices only in the long-run but not in short run.

Download or read book Can Macroeconomic Variables Explain Long Term Stock Market Movements A Comparison of the US and Japan written by Andreas Humpe and published by . This book was released on 2007 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the framework of a standard discounted value model we examine whether a number of macroeconomic variables influence stock prices in the US and Japan. A cointegration analysis is applied in order to model the long term relationship between industrial production, the consumer price index, money supply, long term interest rates and stock prices in the US and Japan. For the US we find the data are consistent with a single cointegrating vector, where stock prices are positively related to industrial production and negatively related to both the consumer price index and a long term interest rate. We also find an insignificant (although positive) relationship between US stock prices and the money supply. However, for the Japanese data we find two cointegrating vectors. We find for one vector that stock prices are influenced positively by industrial production and negatively by the money supply. For the second cointegrating vector we find industrial production to be negatively influenced by the consumer price index and a long term interest rate. These contrasting results may be due to the slump in the Japanese economy during the 1990s and consequent liquidity trap.

Download or read book Macroeconomic Variables and the Stock Market written by Andreas Humpe and published by . This book was released on 2008 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: