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Author: Dennis Sauert
Publisher: GRIN Verlag
ISBN: 3640720652
Category : Business & Economics
Languages : en
Pages : 29
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Book Description
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.
Author: Dennis Sauert
Publisher: GRIN Verlag
ISBN: 3640720652
Category : Business & Economics
Languages : en
Pages : 29
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Book Description
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.
Author: Shaoyi Chen
Publisher:
ISBN:
Category : Macroeconomics
Languages : en
Pages : 68
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Book Description
Author: Min Zhu
Publisher: Springer Science & Business Media
ISBN: 364227966X
Category : Technology & Engineering
Languages : en
Pages : 860
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Book Description
A series of papers on business, economics, and financial sciences, management selected from International Conference on Business, Economics, and Financial Sciences, Management are included in this volume. Management in all business and organizational activities is the act of getting people together to accomplish desired goals and objectives using available resources efficiently and effectively. Management comprises planning, organizing, staffing, leading or directing, and controlling an organization (a group of one or more people or entities) or effort for the purpose of accomplishing a goal. Resourcing encompasses the deployment and manipulation of human resources, financial resources, technological resources and natural resources. The proceedings of BEFM2011 focuses on the various aspects of advances in Business, Economics, and Financial Sciences, Management and provides a chance for academic and industry professionals to discuss recent progress in the area of Business, Economics, and Financial Sciences, Management. It is hoped that the present book will be useful to experts and professors, both specialists and graduate students in the related fields.
Author: Dennis Sauert
Publisher: GRIN Verlag
ISBN: 3640720210
Category : Business & Economics
Languages : en
Pages : 27
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Book Description
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.
Author: Sophia Chen
Publisher: International Monetary Fund
ISBN: 1475563175
Category : Business & Economics
Languages : en
Pages : 33
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Book Description
We study the forecasting power of financial variables for macroeconomic variables for 62 countries between 1980 and 2013. We find that financial variables such as credit growth, stock prices and house prices have considerable predictive power for macroeconomic variables at one to four quarters horizons. A forecasting model with financial variables outperforms the World Economic Outlook (WEO) forecasts in up to 85 percent of our sample countries at the four quarters horizon. We also find that cross-country panel models produce more accurate out-of-sample forecasts than individual country models.
Author: Kudzanai Chakona
Publisher: GRIN Verlag
ISBN: 3346756874
Category : Business & Economics
Languages : en
Pages : 124
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Book Description
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.
Author: John Vaz
Publisher:
ISBN:
Category :
Languages : en
Pages : 642
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Book Description
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.
Author: Paul De Grauwe
Publisher: CEPS
ISBN: 929079819X
Category : Monetary policy
Languages : en
Pages : 22
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Book Description
The question of whether central banks should target stock prices so as to prevent bubbles and crashes from occurring has been hotly debated. This paper analyses this question using a behavioural macroeconomic model. This model generates bubbles and crashes. It analyses how 'leaning against the wind' strategies, which aim to reduce the volatility of stock prices, can help in reducing volatility of output and inflation. We find that such policies can be effective in reducing macroeconomic volatility, thereby improving the trade-off between output and inflation variability. The strength of this result, however, depends on the degree of credibility of the inflation-targeting regime. In the absence of such credibility, policies aiming at stabilising stock prices do not stabilise output and inflation.
Author: Andreas Humpe
Publisher:
ISBN:
Category : Economic indicators
Languages : en
Pages : 714
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Book Description
Author: International Monetary Fund. Research Dept.
Publisher: International Monetary Fund
ISBN: 148437679X
Category : Business & Economics
Languages : en
Pages : 215
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Book Description
Global growth for 2018–19 is projected to remain steady at its 2017 level, but its pace is less vigorous than projected in April and it has become less balanced. Downside risks to global growth have risen in the past six months and the potential for upside surprises has receded. Global growth is projected at 3.7 percent for 2018–19—0.2 percentage point lower for both years than forecast in April. The downward revision reflects surprises that suppressed activity in early 2018 in some major advanced economies, the negative effects of the trade measures implemented or approved between April and mid-September, as well as a weaker outlook for some key emerging market and developing economies arising from country-specific factors, tighter financial conditions, geopolitical tensions, and higher oil import bills. The balance of risks to the global growth forecast has shifted to the downside in a context of elevated policy uncertainty. Several of the downside risks highlighted in the April 2018 World Economic Outlook (WEO)—such as rising trade barriers and a reversal of capital flows to emerging market economies with weaker fundamentals and higher political risk—have become more pronounced or have partially materialized. Meanwhile, the potential for upside surprises has receded, given the tightening of financial conditions in some parts of the world, higher trade costs, slow implementation of reforms recommended in the past, and waning growth momentum.
