scholarly journals A structural break approach to analysing the impact of the QE portfolio balance channel on the US stock market

2019 ◽  
Vol 64 ◽  
pp. 204-220
Author(s):  
Imran Hussain Shah ◽  
Francesca Schmidt-Fischer ◽  
Issam Malki ◽  
Richard Hatfield
Keyword(s):  
Stock Market ◽  
Structural Break ◽  
Portfolio Balance ◽  
The Us ◽  
The Impact

The Impact of Monetary and Fiscal Policies on the Stock Market in the United States (U.S); Evidence from Linear ARDL Framework

2020 ◽  
Vol 11 (1) ◽  
pp. 132-132
Author(s):  
Aref Emamian
Keyword(s):  
United States ◽  
Stock Market ◽  
The United States ◽  
Real Effective Exchange Rate ◽  
Annual Data ◽  
Fiscal Policies ◽  
Long Run ◽  
The Us ◽  
Short Run ◽  
The Impact

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States

Absence of the weekend effect and industry-style portfolios

2019 ◽  
Vol 12 (4) ◽  
pp. 463-475
Author(s):  
Selma Izadi ◽  
Abdullah Noman
Keyword(s):  
New York ◽  
Stock Market ◽  
Structural Breaks ◽  
Stock Exchange ◽  
Structural Break ◽  
Weekend Effect ◽  
Content Type ◽  
Market Portfolio ◽  
The Us ◽  
Using Data

Purpose The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years. Design/methodology/approach The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios. Findings As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper. Originality/value As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

scholarly journals Loss aversion, overconfidence of investors and their impact on market performance evidence from the US stock markets

2020 ◽  
Vol 25 (50) ◽  
pp. 451-478
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg
Keyword(s):  
Stock Market ◽  
Economic Performance ◽  
Loss Aversion ◽  
Market Performance ◽  
Ordinary Least Squares ◽  
Company Performance ◽  
Service Firms ◽  
Content Type ◽  
The Us ◽  
The Impact

Purpose The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed. Design/methodology/approach This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study. Findings It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse. Originality/value This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

scholarly journals Effect of Money Supply on the Stock Market

2017 ◽  
Vol 65 (2) ◽  
pp. 465-472 ◽  
Author(s):  
Vladimír Pícha
Keyword(s):  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Policy Framework ◽  
Vector Error Correction ◽  
Flow Of Funds ◽  
Portfolio Balance ◽  
Vector Error ◽  
Long Run ◽  
The Impact

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.

scholarly journals The impact of the US stock market opening on price discovery of government bond futures

2019 ◽  
Vol 39 (7) ◽  
pp. 779-802 ◽  
Author(s):  
Ivan Indriawan ◽  
Feng Jiao ◽  
Yiuman Tse
Keyword(s):  
Stock Market ◽  
Price Discovery ◽  
Government Bond ◽  
Market Opening ◽  
The Us ◽  
The Impact ◽  
Bond Futures

scholarly journals Opportunity or Crisis? Volatility and Leverage Effect in the World’s Largest Economies

2019 ◽  
Vol 9 (4) ◽  
pp. 1
Author(s):  
Amalendu Bhunia ◽  
Devrim Yaman
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Market Volatility ◽  
Future Market ◽  
Market Returns ◽  
Stock Market Returns ◽  
The Us ◽  
The World ◽  
The Impact ◽  
The Relationship

This paper examines the relationship between asset volatility and leverage for the three largest economies (based on purchasing power parity) in the world; US, China, and India. Collectively, these economies represent Int$56,269 billion of economic power, making it important to understand the relationship among these economies that provide valuable investment opportunities for investors. We focus on a volatile period in economic history starting in 1997 when the Asian financial crisis began. Using autoregressive models, we find that Chinese stock markets have the highest volatility among the three stock markets while the US stock market has the highest average returns. The Chinese market is less efficient than the US and Indian stock markets since the impact of new information takes longer to be reflected in stock prices. Our results show that the unconditional correlation among these stock markets is significant and positive although the correlation values are low in magnitude. We also find that past market volatility is a good indicator of future market volatility in our sample. The results show that positive stock market returns result in lower volatility compared to negative stock market returns. These results demonstrate that the largest economies of the world are highly integrated and investors should consider volatility and leverage besides returns when investing in these countries.

scholarly journals Capital Asset Pricing Model, Theory and Practice: Evidence from USA (2009-2016)

2017 ◽  
Vol 12 (8) ◽  
pp. 182 ◽  
Author(s):  
Mohammad AbdelMohsen Al-Afeef
Keyword(s):  
Stock Market ◽  
Multiple Regression Model ◽  
Theory And Practice ◽  
Pricing Model ◽  
Stock Market Index ◽  
Market Return ◽  
Market Index ◽  
Stock Market Return ◽  
The Us ◽  
The Impact

This study discussed the Capital Assets Pricing model (CAPM) and its ability to measure the required return, the researcher tested this model on Amazon Company listed in S&P 500 during the period (2009-2016), to measure the impact of beta stock and market index return on the required return. Multiple regression model was used to test the effect of independent variables (Beta stock, Market Index Return) on the dependent variable (Required return), it should be noted that there is a statistically significant impact of the US stock market Return (S&P500) and Amazon stock Beta factor on Amazon stock required return, and the study model explanatory was 20% , this means that 20% of the changes in the required return are due to beta and market return, and 80% of the changes due to other factors, also find that CAPM can be applied on efficiency markets and huge companies.The researcher recommends applying the variables of the study on a group of large companies in the S&P 500 index, and looking for other factors that may affect the required return.

scholarly journals Using rival effects to identify synergies and improve merger typologies

2011 ◽  
Vol 9 (4) ◽  
pp. 310-335 ◽  
Author(s):  
Joseph A. Clougherty ◽  
Tomaso Duso
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Methodological Approach ◽  
Horizontal Mergers ◽  
European Continent ◽  
Market Data ◽  
Merger Activity ◽  
The Us ◽  
Anglo American ◽  
The Impact

Differentiation of collusive and efficiency-based synergies in horizontal mergers has proven difficult. The authors propose a theory-backed methodological approach to classify mergers that yields greater information on merger types and merger effects. Moreover, the methodological approach distinguishes between mergers characterized largely by collusion-based synergies and those characterized largely by efficiency-based synergies. Crucial to the proposed method is that it considers the impact of merger events not only on merging firms, as is common in the literature, but also on non-merging rivals. The authors demonstrate how the proposed approach clarifies the nature of merger activity through an event-study procedure based on stock market data on samples of large horizontal mergers drawn from the US and UK (an Anglo-American sub-sample) and from the European continent the authors demonstrate how the proposed schematic clarifies the nature of merger activity.

scholarly journals PENGARUH KRISIS EKONOMI AMERIKA SERIKAT TERHADAP BURSA SAHAM DAN PERDAGANGAN INDONESIA

2013 ◽  
Vol 15 (3) ◽  
pp. 89-103
Author(s):  
Mita Nezky
Keyword(s):  
Stock Market ◽  
Income Tax ◽  
Stock Price ◽  
Value Added ◽  
Vector Autoregressive ◽  
Production Index ◽  
Svar Model ◽  
Dow Jones Industrial Average ◽  
The Us ◽  
The Impact

This paper analyzes the impact of the financial crisis in United States 2008 on Indonesia’s economy, by using Structural Vector Autoregressive (SVAR) model of 5 variables; Dow Jones Industrial Average, exchange rate, composite stock price index (IHSG), production index and trade tax income. The result shows that the US crisis affects the capital market in Indonesia where the Dow Jones Industrial Average plays greater role in explaining the IHSG, compared to Rupiah rate, production index and the trade income tax. In addition, the US crisis affects the volume and the trade income tax in Indonesia. These empirical results bring policy implication for Bappepam-LK as stock market regulator to intervene or to suspend the trade when the volatility exceeds the psychological threshold. It also emphasizes the necessity to diversify the export country destination and to increase the quality and the value added of Indonesian export.Keywords : US Crisis, stock market, trade, SVAR.JEL Classification : G18

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