Earnings forecast revisions and securities prices evolution in the Tunisian stock market

2019 ◽  
Vol 11 (2) ◽  
pp. 165-187
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Earnings Forecast ◽  
Behavioral Models ◽  
Content Type ◽  
Forecast Revisions ◽  
Theoretical Hypothesis ◽  
Investor Reaction ◽  
Psychological Bias ◽  
Abnormal Variation

Purpose The purpose of this paper is to investigate the effect of forecast earnings’ revision on the evolution of securities prices in the Tunisian stock market. Design/methodology/approach A portfolio study of investor reaction and stock prices following revisions is first conducted to highlight the existence of abnormal return related to analysts’ earnings revisions. Analysis is then supplemented by a second empirical investigation based on the panel data to quantify the effect of revision on the abnormal profitability of securities. Findings The evidence found in this paper validates the fundamental theoretical hypothesis according to which the psychological bias resulting from the effect of the forecast earnings revision is related to the abnormal profitability of the securities. The authors conclude the importance of the revision impact on investors’ behavior on one hand, and the informational content of the analysts’ forecasts and the biases which they lead on the other hand. Originality/value Globally, the empirical illustrations largely validate the findings of behavioral models particularly that of Kormendi and Lippe (1987), Cornell and Letsman (1989), Beaver et al. (2008) which states that investors under psychological bias, react to the effect of forecast earnings revision by an abnormal variation in stock prices.

scholarly journals Returns to buying upward revision and selling downward revision stocks

2016 ◽  
Vol 42 (11) ◽  
pp. 1110-1124
Author(s):  
Tony Chieh-Tse Hou ◽  
Phillip McKnight ◽  
Charlie Weir
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Information Diffusion ◽  
Trading Strategy ◽  
Good News ◽  
Analyst Forecast ◽  
Earnings Forecast ◽  
Content Type ◽  
Forecast Revisions ◽  
New Information

Purpose The purpose of this paper is to investigate the role of earnings forecast revisions by equity analysts in predicting Canadian stock returns Design/methodology/approach The sample covers 420 Canadian firms over the period 1998-2009. It analyses investors’ reactions to 27,271 upward revisions and 32,005 downward revisions of analysts’ forecasts for Canadian quoted companies. To test whether analysts’ earnings forecast revisions affect stock return continuation, forecast revision portfolios similar to Jegadeesh and Titman (2001) are constructed. The paper analyses the returns gained from a trading strategy based on buying the strong upward revisions portfolio and short selling the strong downward revisions portfolio. It also separates the sample into upward and downward revisions. Findings The authors find that new information in the form of analyst forecast revisions is not impounded efficiently into stock prices. Significant returns persist for a trading strategy that buys stocks with recent upward revisions and short sells stocks with recent downward revisions. Good news is impounded into stock prices more slowly than bad news. Post-earnings forecast revisions drift is negatively related to analyst coverage. The effect is strongest for stocks with greatest number of upward revisions. The introduction of the better disclosure standards has made the Canadian stock market more efficient. Originality/value The paper adds to the limited evidence on the effect of analyst forecast revisions on the returns of Canadian stocks. It sheds light on the importance of analysts’ earnings forecast information and offers support for the investor conservatism and information diffusion hypotheses. It also shows how policy can improve market efficiency.

Big data investments in knowledge and non-knowledge intensive firms: what the market tells us

2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Stock Market ◽  
Value Chain ◽  
Stock Prices ◽  
Economic Value ◽  
Information Value ◽  
Publicly Traded ◽  
Content Type ◽  
Knowledge Intensive

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

Asymmetric impact of exchange rate changes on stock returns: evidence of two de facto regimes

2019 ◽  
Vol 19 (2) ◽  
pp. 147-173
Author(s):  
Walid M.A. Ahmed
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Spillover Effects ◽  
Content Type ◽  
Currency Depreciation ◽  
Long Run ◽  
Exchange Rate Changes

Purpose This study focuses on Egypt’s recent experience with exchange rate policies, examining the existence of spillover effects of exchange rate variations on stock prices across two different de facto regimes and whether these effects, if any, are asymmetric. Design/methodology/approach The empirical analysis is carried out using a nonlinear autoregressive distributed lag modeling framework, which permits testing for the presence of short- and long-run asymmetries. Relevant local and global factors are also included in the analysis as control variables. The authors divide the entire sample into a soft peg period and a free float one. Findings Over the soft peg regime period, both positive and negative changes in EGP/USD exchange rates seem to have a significant impact on stock returns, whether in the short or long run. Short-term asymmetric effects vanish in the free float period, while long-term asymmetries continue to exist. By and large, the authors find that currency depreciation tends to exercise a stronger influence on stock returns than does currency appreciation. Practical implications The results offer important insights for investors, regulators and policymakers. With the domestic currency depreciation having a negative impact on stock prices, investors should contemplate implementing appropriate currency hedging strategies to abate depreciation risks and, hence, preserve their expected rate of return on the Egyptian pound-denominated investments. In the current post-flotation era, the government could pursue a flexible inflation targeting monetary policy framework, with a view to both lowering the soaring inflation toward an announced target rate and stabilizing economic growth. The Central Bank of Egypt (CBE) could adopt indirect monetary policy instruments to secure tightened liquidity conditions. Besides, the CBE could raise policy rates to incentivize people to keep their money in local currency-denominated instruments, instead of dollarizing their savings, thereby relieving banks of foreign currency demand pressures. Nevertheless, while being beneficial to the country’s real economy on several aspects, such contractionary monetary measures may temporarily impinge on stock market performance. Accordingly, policymakers should consider precautionary measures that reduce the potential for price distortions and unnecessary volatility in the stock market. Originality/value To the best of the authors’ knowledge, the current study represents the first attempt to explore the potential impact of exchange rate changes under different regimes on Egypt’s stock market, thus contributing to the relevant research in this area.

Stock prices' long memory in China and the United States

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhengxun Tan ◽  
Yao Fu ◽  
Hong Cheng ◽  
Juan Liu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Long Memory ◽  
Stock Markets ◽  
Information Disclosure ◽  
Structural Breaks ◽  
Efficient Market Hypothesis ◽  
The United States ◽  
Chinese Stock Market ◽  
Content Type

PurposeThis study aims to examine the long memory as well as the effect of structural breaks in the US and the Chinese stock markets. More importantly, it further explores possible causes of the differences in long memory between these two stock markets.Design/methodology/approachThe authors employ various methods to estimate the memory parameters, including the modified R/S, averaged periodogram, Lagrange multiplier, local Whittle and exact local Whittle estimations.FindingsChina's two stock markets exhibit long memory, whereas the two US markets do not. Furthermore, long memory is robust in Chinese markets even when we test break-adjusted data. The Chinese stock market does not meet the efficient market hypothesis (EMHs), including the efficiency of information disclosure, regulations and supervision, investors' behavior, and trading mechanisms. Therefore, its stock prices' sluggish response to information leads to momentum effects and long memory.Originality/valueThe authors elaborately illustrate how long memory develops by analyzing not only stock market indices but also typical individual stocks in both the emerging China and the developed US, which diversifies the EMH with wider international stylized facts and findings when compared with previous literature. A couple of tests conducted to analyze structural break effects and spurious long memory demonstrate the reliability of the results. The authors’ findings have significant implications for investors and policymakers worldwide.

Political connection and firm value: an Indian perspective

2014 ◽  
Vol 3 (2) ◽  
pp. 170-189 ◽  
Author(s):  
Debabrata Datta ◽  
Santanu K. Ganguli
Keyword(s):  
Corporate Governance ◽  
Theoretical Model ◽  
Stock Market ◽  
Stock Prices ◽  
Empirical Test ◽  
Political Connection ◽  
Content Type ◽  
Election Results ◽  
Political Governance ◽  
Practical Implications

Purpose – The purpose of this paper is to verify existence of political connection of firms in India. For this purpose the paper first presents a theoretical model and then tests empirically the movement of stock prices during two state elections in India. Design/methodology/approach – The methodology is theoretical modelling where the paper applies the standard Cournot model of oligopoly. The paper then applies correlation and Wilcoxon Paired Rank Sum test to verify the results of the theoretical model by using data from the Indian stock market during the election results. Findings – The theoretical result states that some firms opt for political connection and some remain independent in an oligopoly. It also shows that political connection affects stock price. The empirical results find out that divergent responses of stock prices to the election results can be linked to politically connection. Research limitations/implications – The theoretical model is a simple two firm model and not generalized to n number of firms. The empirical test considers only two state elections and applies simple statistical test. The study is restricted to one country only. Practical implications – The paper has practical implications for stock market. It has implications for corporate governance and for political governance. This is important since political connection of firms has emerged as an important issue in India. Social implications – The paper is important as it addresses the issue of political connection of firms, which have ramifications for social equilibrium. In a democratic country like India any nexus between political party and firms may adversely affect not only corporate governance but also political governance. Originality/value – This paper looks at political connectedness theoretically in a federal structure, an issue not addressed so far in the literature. Second it considers not so discussed topic of market perception of political connection in India. The originality of the paper is that it presents a theory and also verifies the theoretical results with empirical test.

Investor Reaction to Celebrity Analysts: The Case of Earnings Forecast Revisions

2007 ◽  
Vol 45 (3) ◽  
pp. 481-513 ◽  
Author(s):  
SARAH E. BONNER ◽  
ARTUR HUGON ◽  
BEVERLY R. WALTHER
Keyword(s):  
Earnings Forecast ◽  
Forecast Revisions ◽  
Investor Reaction

scholarly journals Oil, gold, US dollar and stock market interdependencies: a global analytical insight

2017 ◽  
Vol 26 (3) ◽  
pp. 278-293 ◽  
Author(s):  
Mongi Arfaoui ◽  
Aymen Ben Rejeb
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Global Analysis ◽  
Oil Price ◽  
Global Perspective ◽  
Main Question ◽  
Real Economy ◽  
Content Type ◽  
Specific Effects ◽  
Us Dollar

Purpose The purpose of this paper is to examine, in a global perspective, the oil, gold, US dollar and stock prices interdependencies and to identify instantaneously direct and indirect linkages among them. Design/methodology/approach A methodology based on simultaneous equations system was used to identify direct and indirect linkages for the period 1995-2015. The authors try initially to find theoretical answers to main question of the study by discussing causal bilateral relationships while focusing on multilateral interactions. Findings The results show significant interactions between all markets. The authors found a negative relation between oil and stock prices but oil price is significantly and positively affected by gold and USD. Oil price is also affected by oil futures prices and by Chinese oil gross imports. Gold rate is concerned by changes in oil, USD and stock markets. The US dollar is negatively affected by stock market and significantly by oil and gold price. Indirect effects always exist which confirm the presence of global interdependencies and involve the financialization process of commodity markets. Originality/value Motivation of this research paper is the substantial implications of price movements on real economy and financial markets. Understanding that co-movement has great value for investors, policy makers and portfolio managers. This paper differs from previous studies in several aspects. First, most of the research papers focus on bilateral linkages solely, while the authors’ investigation was implemented on all the four markets simultaneously. Second, the study was developed in a global framework using international data. The global analysis allows avoiding country specific effects.

Individual investors' responses to mutual fund fire sales and sell-side analysts' price-correcting revisions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jinglin Jiang ◽  
Weiwei Wang
Keyword(s):  
Mutual Fund ◽  
Individual Investors ◽  
Earnings Forecast ◽  
Content Type ◽  
Forecast Revisions ◽  
Fire Sales ◽  
Informed Traders ◽  
Trading Decisions ◽  
Information Event ◽  
New Evidence

PurposeThis paper investigates individual investors' responses to stock underpricing and how their trading decisions are affected by analysts' forecasts and recommendations.Design/methodology/approachThis empirical study uses mutual fund fire sales as an exogenous source that causes stock underpricing and analysts' forecasts and recommendations as price-correcting information. The study further uses regression analysis to examine individual investors' responses to fire sales and how their responses vary with price-correcting information.FindingsThe authors first show that individual investors respond to mutual fund fire sales by significantly decreasing net buys, and this effect appears to be prolonged. Next, the authors find that the decrease of net buys diminishes following analysts' price-correcting earnings forecast revisions and stock recommendation changes. Hence, the authors suggest that individual investors are not “wise” enough to recognize flow-driven underpricing; however, this response is weakened by analysts' price-correcting information.Originality/valueThere is an ongoing debate in the literature about whether individual investors should be portrayed as unsophisticated traders or informed traders who can predict future returns. The authors study a unique information event and provide new evidence related to both perspectives. Overall, our evidence suggests that the “unsophisticated traders” perspective is predominant, whereas a better information environment significantly reduces individual investors' information disadvantage. This finding could be of interest to both academic researchers and regulators.

Life-cycle asset allocation and the peso problem: does ambiguity aversion matter?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nuno Silva
Keyword(s):  
Life Cycle ◽  
Stock Market ◽  
Asset Allocation ◽  
Stock Prices ◽  
Stock Price ◽  
Ambiguity Aversion ◽  
Content Type ◽  
Portfolio Decisions ◽  
State Of The Economy ◽  
The Impact

PurposeThe study aims to show that ambiguity aversion exerts a non-negligible effect on the investors' decisions, especially due to the possibility of sharp declines in stock prices.Design/methodology/approachThe vast majority of previous studies on life-cycle consumption and asset allocation assume that the equity premium is constant. This study evaluates the impact of rare disasters that shift the stock market to a low return state on investors' consumption and portfolio decisions. The author assumes that investors are averse to ambiguity relative to the current state of the economy and must incur a per period cost to participate in the stock market and solve their optimal consumption and asset allocation problem using dynamic programming.FindingsThe results show that most young investors choose not to invest in stocks because they have low accumulated wealth and the potential return from their stock market investments would not cover the participation costs. Furthermore, ambiguity-averse investors hold considerably fewer stocks throughout their lifetime than ambiguity-neutral ones. The fraction of wealth invested in stocks over the typical consumer's life is hump-shaped: it is low for a young individual, peaks at his early 30s and then decreases until his retirement age.Originality/valueTo the best of the author’s knowledge, this is the first study that assesses the impact of negative stock price jumps on the optimal portfolio of an ambiguity-averse investor.

Cointegration between stock prices, dividends, output and consumption

2015 ◽  
Vol 14 (1) ◽  
pp. 81-103 ◽  
Author(s):  
Angela J. Black ◽  
David G. McMillan ◽  
Fiona J. McMillan
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Return ◽  
Consumption Growth ◽  
Content Type ◽  
Cointegrating Vector ◽  
Long Run ◽  
Forecast Models ◽  
Theoretical Developments ◽  
Growth Forecasts

Purpose – This paper aims to empirically test for multiple cointegrating vectors in a holistic manner. Theoretical developments imply bivariate cointegration among stock prices, dividends, output and consumption where independent models identify key theoretical cointegration vectors. Design/methodology/approach – This paper considers both Johansen and Horvath–Watson testing approaches for cointegration. This paper also examines the forecasting power of these cointegrating relationships against alternate forecast variables. Findings – The results suggest evidence of a long-run cointegrating relationship between stock prices, dividends, output and consumption, although not necessarily linked by a single common stochastic trend; each series responds to disequilibrium with greater evidence of a reaction from dividends and consumption – of note, output responds to changes in stock market equilibrium; and there is forecast power from the joint stock market–macro cointegrating vector for stocks returns and consumption growth over the historical average. Of particular note, other forecast models that include consumption perform well and suggest a key role for this variable in stock return and consumption growth forecasts. Originality/value – This is the first paper to combine the cointegrating relationships between stocks, dividends, output and consumption. Thus, the empirical validity of stated theoretical hypotheses can be analysed. The forecast results also demonstrate the usefulness of this. They also show that forecast models that include consumption perform well and suggest a key role for this variable in stock return and consumption growth forecasts.

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