scholarly journals Taking the Pulse of the Real Economy Using Financial Statement Analysis: Implications for Macro Forecasting and Stock Valuation

2013 ◽  
Vol 89 (2) ◽  
pp. 669-694 ◽  
Author(s):  
Yaniv Konchitchki ◽  
Panos N. Patatoukas
Keyword(s):  
Stock Market ◽  
Economic Activity ◽  
Financial Statement ◽  
Gdp Growth ◽  
Real Economy ◽  
Market Returns ◽  
Financial Statement Analysis ◽  
Stock Market Returns ◽  
Real Gdp ◽  
Predictive Content

ABSTRACT In this study, we hypothesize and find that financial statement analysis of firm profitability drivers applied at the aggregate level yields timely insights that are relevant for forecasting real economic activity. We first show that focusing on the 100 largest firms offers a cost-effective way to extract information embedded in accounting profitability data of the entire stock market portfolio. We then show that accounting profitability data aggregated across the 100 largest firms have predictive content for subsequent real Gross Domestic Product (GDP) growth. We also show that stock market returns have predictive content for future real GDP growth, while their predictive power varies with the length of the measurement window with annual stock market returns being the most powerful. Importantly, we find that the predictive content of our indices of aggregate accounting profitability drivers is incremental to that of annual stock market returns. An in-depth investigation of consensus survey forecasts shows that professional macro forecasters revise their expectations of real economic activity in the direction of the predictive content of aggregate accounting profitability drivers and stock market returns. Although macro forecasters are fully attuned to stock market return data, their forecasts of real GDP growth can be improved in a statistically and economically significant way using our indices of aggregate accounting profitability drivers. Our findings suggest that professional macro forecasters and stock market investors do not fully impound the predictive content of aggregate accounting profitability drivers when forecasting real economic activity. In additional analysis, we examine the association between stock market returns and the portion of subsequent real GDP growth that is predictable based on our indices of aggregate accounting profitability drivers but that is not anticipated by stock market investors. We find that this portion is positively related to stock market returns, suggesting that the macro predictive content of aggregate accounting profitability drivers is relevant for stock valuation. Overall, our study brings financial statement analysis to the forefront as an incrementally useful tool for gauging the prospects of the real economy that should be of interest to academics and practitioners. JEL Classification: E01; E32; E60; M41. Data Availability: Data are available from public sources indicated in the text.

scholarly journals Impacts of Macroeconomic Variables on the Stock Market Returns of South Asian Region

2020 ◽  
pp. 24-34 ◽  
Keyword(s):  
Growth Rate ◽  
Exchange Rate ◽  
Stock Market ◽  
Inflation Rate ◽  
Foreign Currency ◽  
Currency Reserve ◽  
Gdp Growth ◽  
Market Returns ◽  
Stock Market Returns ◽  
Gdp Growth Rate

This paper is intended to find out whether macroeconomic variables may impact on the stock market as well as whether such impact has any country specific pattern. The stock market return was taken as the dependent variable and real interest rate, inflation rate, GDP growth rate, foreign currency reserve growth rate, fiscal deficit, FDI to GDP ratio, exchange rate were taken as independent variables. Data-set was covered from 1993 to 2019 for five South Asian countries which were Bangladesh, India, Pakistan, Sri Lanka, and Nepal. The pattern of the stock market, as well as macro conditions of these countries, was observed and it was found that some relationships exist between the stock market returns and these chosen independent variables. Unit root test, Heteroscedasticty test, autocorrelation test, Hausman test is conducted to authenticate and clarified data to investigate relationship nature. Granger Casualty test indicated that there exist cause and effect relationship between GDP growth rate, exchange rate, and stock market returns. Finally, the regression test reveals that the inflation rate and foreign currency reserve growth rate have a significant impact on the stock market returns. It was expected to have the unique nature of different countries having versatile impact on dependent, so additionally fixed effects model and random effects model were run and it was found that the random effects model is statistically appropriate through conducting the Hausman test. The test reveals that GDP growth rate, foreign currency reserve growth rate, and fiscal deficit positively impact the stock market returns and these also support the literature review. Interest rates, inflation rate, FDI to GDP ratio, and exchange rate have negatively impacted the stock market return where only interest rate, inflation rate & exchange rate.

Stock Market Returns and GDP News

2020 ◽  
pp. 0148558X2091341
Author(s):  
Panos N. Patatoukas
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Returns ◽  
Discount Rate ◽  
Gdp Growth ◽  
Market Returns ◽  
Stock Market Returns ◽  
Consensus Forecasts ◽  
Macro Finance ◽  
Discount Rate News

What is the link between stock returns and news about economic growth? Using consensus forecasts from the Philadelphia Fed’s Survey of Professional Forecasters, I find that the univariate association between stock returns and gross domestic product (GDP) growth forecast surprises is indistinguishable from zero. Although consistent with prior macro-finance research, this phenomenon is intriguing if one believes that the stock market should move in sync with the economy. I consider two non–mutually exclusive hypotheses for this puzzling phenomenon. The first hypothesis is that GDP growth forecast surprises are correlated with offsetting cash flow news and discount rate news. The second hypothesis is that GDP growth forecast surprises measure news about economic growth with noise. I extract a measure of market-level discount rate news using accounting data and find evidence consistent with the hypothesis of offsetting value-relevant news. Overall, this article makes an important step toward resolving evidence of a disconnect between stock market returns and news about economic growth. More broadly, this article illustrates how accounting constructs and methods can be applied to inform macro-finance questions.

Relationship between Foreign Portfolio Investments (FPI), Domestic Institutional Investors, and Stock Market Returns in India

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Negative Relationship ◽  
Trading Strategies ◽  
Market Returns ◽  
Stock Market Returns ◽  
Foreign Portfolio Investment ◽  
Stock Market Return ◽  
Indian Stock Market ◽  
Feedback Trading

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.

Sign in / Sign up

Export Citation Format

Share Document