On statistical indistinguishability of complete and incomplete market models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nikolai Dokuchaev
Keyword(s):  
Stock Prices ◽  
Incomplete Market ◽  
Market Model ◽  
Market Models ◽  
Content Type ◽  
Market Completeness ◽  
Market Incompleteness ◽  
Complete Market ◽  
Robust Property ◽  
Statistical Detection

Purpose This paper aims to investigate possibility of statistical detection of market completeness for continuous time diffusion stock market models. Design/methodology/approach The paper uses theory of forecasting to find criteria of predictability of market parameters such as volatilities and the appreciation rates. Findings It is known that the market completeness is not a robust property: small random deviations of the coefficients convert a complete market model into an incomplete one. The paper shows that market incompleteness is also non-robust: for any incomplete market from a wide class of models, there exists a complete market model with arbitrarily close paths of the stock prices and the market parameters. Originality/value The paper results lead to a counterintuitive conclusion that the incomplete markets are indistinguishable in the terms of the market statistics.

The effect of the imposition of a public reprimand on the stock price of companies in Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emie Famieza Zainudin ◽  
Hafiza Aishah Hashim ◽  
Shahnaz Ismail
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Design Methodology ◽  
Negative Impact ◽  
Abnormal Returns ◽  
Investment Decisions ◽  
Market Model ◽  
Market Reactions ◽  
Content Type ◽  
A Company

Purpose This paper aims to examine the effect of the imposition of public reprimands on the underlying stock prices of companies in Malaysia. Design/methodology/approach Data on 148 companies that received public reprimands during the period from 2007 to 2013 were collected from the Bursa Malaysia website to analyse the market reactions to the imposition of public reprimands. Findings Based on a market model of abnormal returns, the empirical result showed that the imposition of a public reprimand had a negative impact on a company’s stock price. Moreover, when a market model of average abnormal returns (AAR) was used, the result indicated that companies that had received a public reprimand had a negative AAR value. Research limitations/implications The findings from this study have implications for shareholders in making their investment decisions because they can switch their investments to other companies and markets after a company in which they are interested or have made an investment has received a public reprimand. Originality/value There is limited research on the imposition of public reprimands and the effect that it has on companies in developing countries. Hence, this study contributes to research in this area by providing evidence on the effect of public reprimand on stock price reactions in the context of a developing country, namely, Malaysia.

Insider trading surrounding securities class action litigation and settlement announcements

2017 ◽  
Vol 43 (1) ◽  
pp. 124-140 ◽  
Author(s):  
Frederick Davis ◽  
Behzad Taghipour ◽  
Thomas J. Walker
Keyword(s):  
Insider Trading ◽  
Private Information ◽  
Stock Prices ◽  
Class Action ◽  
Market Model ◽  
Trading Activity ◽  
Content Type ◽  
Sarbanes Oxley ◽  
Abnormal Profits ◽  
The Impact

Purpose The purpose of this paper is to investigate the trading patterns of corporate insiders, both managing and non-managing, around the announcement dates of securities class action lawsuits and related legal settlements. Design/methodology/approach The authors use market model event study methodology to examine the impact of class action litigation and settlement announcements on the stock prices of sued firms. The authors then determine the extent of abnormal insider trading surrounding such announcements by comparing insider trading activity (volume and transaction counts) to prior insider trading in the same firm, and to a matched sample of firms not experiencing such litigation announcements. A multivariate framework is utilized to provide further insight into the determinants of such abnormal insider trading. Findings The authors establish that class action litigation and settlement announcements have a significant impact on the stock prices of sued firms, and that foreknowledge of these events appears to be used by insiders to earn abnormal profits. Moreover, results indicate that managing insiders exhibit higher opportunistic abnormal trading activity than non-managing insiders. Multivariate analysis shows that size, prior firm returns, and the implementation of the Sarbanes-Oxley Act are important determinants of such insider trading. Originality/value This appears to be the first paper to analyze insider trading surrounding class action settlement announcements, and raises concerns about the ethical conduct of certain insider groups while highlighting the importance of access to private information, even amongst insiders themselves.

scholarly journals The impact of rating classifications on stock prices of Brazilian companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fernanda Pagin ◽  
Matheus da Costa Gomes ◽  
Rafael Moreira Antônio ◽  
Tabajara Pimenta Júnior ◽  
Luiz Eduardo Gaio
Keyword(s):  
Decision Making ◽  
Asset Allocation ◽  
Stock Prices ◽  
Market Reaction ◽  
Investment Decision ◽  
Abnormal Returns ◽  
Investment Strategy ◽  
Market Model ◽  
Content Type ◽  
The Impact

Purpose This paper aims to identify if there is an impact of the rating announcements issued by the agencies on the returns of the stocks of Brazilian companies listed on Brasil Bolsa Balcão, from August 2002 to August 2018, identifying which types of announcement (upgrade, downgrade or the same initial classification) cause variations in prices around the date of disclosure of the rating. Design/methodology/approach The event study methodology was applied to verify the market reaction around the announcement dates in a 21-day event window (−10, +10). The market model was used to calculate the abnormal returns (ARs), and subsequently, the accumulated ARs. Findings The hypotheses tests allowed to verify that the accumulated ARs are different, before and after the three types of rating announcements (upgrades, downgrades and the same classification); in upgrades, the mean of accumulated ARs increases in the days before the event, while in downgrades, this increase occurs after the event. This paper concluded that the rating announcements have an impact on the return of stock of the Brazilian market and that the market reaction occurs most of the time before the event happens, which indicates that the market can anticipate the information contained in the changes in credit ratings. Practical implications The results have considerable implications for portfolio managers, institutional investors and traders. It facilitates investment decision-making in the face of rating classification announcements. Market participants can pay more attention to their investment strategies and asset allocation during periods of risk rating announcements. Additionally, traders can understand the form of investment strategy for superior earnings. Originality/value The importance of the study is related to the fact that the results may explain the causes of specific movements in the Brazilian financial market related to a source of information that may or may not be able to influence the decisions of the financial agents that operate in this market. The justification is centred on the idea that, for investors who somehow react to the announcements, it is relevant to understand the impact of rating classifications on companies, as access to such information allows for more conscious decision-making.

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.

scholarly journals Optimal Investment and Proportional Reinsurance in a Regime-Switching Market Model under Forward Preferences

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1610
Author(s):  
Katia Colaneri ◽  
Alessandra Cretarola ◽  
Benedetta Salterini
Keyword(s):  
Stock Prices ◽  
Regime Switching ◽  
Common Factor ◽  
Optimal Investment ◽  
Investment Strategy ◽  
Market Model ◽  
Sensitivity Analyses ◽  
Model Parameters ◽  
Insurance Company ◽  
Optimal Investment Strategy

In this paper, we study the optimal investment and reinsurance problem of an insurance company whose investment preferences are described via a forward dynamic exponential utility in a regime-switching market model. Financial and actuarial frameworks are dependent since stock prices and insurance claims vary according to a common factor given by a continuous time finite state Markov chain. We construct the value function and we prove that it is a forward dynamic utility. Then, we characterize the optimal investment strategy and the optimal proportional level of reinsurance. We also perform numerical experiments and provide sensitivity analyses with respect to some model parameters.

scholarly journals The economic market outcomes and income distribution when capital is not homogeneous

2019 ◽  
Vol 1 (1) ◽  
pp. 38-56
Author(s):  
Ahmet Özçam
Keyword(s):  
Measurement Problem ◽  
Physical Capital ◽  
Threshold Level ◽  
Market Model ◽  
Economic Market ◽  
Constant Elasticity ◽  
Content Type ◽  
Macroeconomic Analysis ◽  
Long Run ◽  
Short Run

Purpose An aggregate production function has been used in macroeconomic analysis for a long time, even though it seems that it is conceptually confusing and problematic. The purpose of this paper is to argue that the measurement problem related to the heterogenous capital input that exists in macroeconomics is also relevant to microeconomic market situations. Design/methodology/approach The author constructed a microeconomic market model to address both the problems of the measurement of the physical capital and of substitutability between labor and capital in the short run using two types of technologies: labor neutral and labor reducing. The author proposed that labor and physical capital inputs are complementary in the short run and can become substitutes only in the long run when the technology advances. Findings The author found that even if the technology improves at a fast rate over time, there are then diminishing returns of profits to technology and an upper limit to profits. Moreover, the author showed that under the labor-reducing technology, labor class earns more initially as technology improves, but their incomes start declining after some threshold level of passage of time. Originality/value The author cautioned the applied researcher that the estimated labor and capital coefficients of generalized Cobb–Douglas and constant elasticity of substitution of types of production functions could not be interpreted as partial elasticities of labor and capital if in reality the data come from fixed-proportions types of processes.

How Moroccan institutional investors view dividend policy

2017 ◽  
Vol 43 (12) ◽  
pp. 1332-1347 ◽  
Author(s):  
H. Kent Baker ◽  
Imad Jabbouri
Keyword(s):  
Institutional Investors ◽  
Stock Prices ◽  
Dividend Policy ◽  
Stock Exchange ◽  
Mail Survey ◽  
High Response Rate ◽  
Content Type ◽  
Listed Firms ◽  
Dividend Policies ◽  
Dividend Payments

Purpose The purpose of this paper is to examine how Moroccan institutional investors view dividend policy. It discusses the importance these investors attach to the dividend policy of their investee firms, how much influence they exercise in shaping investee firms’ dividend policies, their reactions to changes in dividends, and their views on various explanations for paying dividends. Design/methodology/approach A mail survey provides a respondent and firm profile and responses to 28 questions involving various explanations for paying dividends and 30 questions on different dividend issues. Findings Institutional investors attach substantial importance to dividend policy and prefer high dividend payments. Although liquidity needs are a major driver, taxes play little role in shaping dividend preferences. Respondents agree with multiple explanations for paying dividends giving the strongest support to catering, bird-in-the-hand, life cycle, signaling, and agency theories. Research limitations/implications Despite a high response rate, the number of respondents limits partitioning the sample and testing for significant differences between different groups. Practical implications The lack of communication between Casablanca Stock Exchange (CSE) listed firms and institutional investors may depress stock prices and increase volatility. The results suggest agency problems and a weak governance environment at the CSE. Originality/value This study documents the importance that institutional investors place on dividend policy, their reactions to changes in their investees’ dividend policy, and the methods used to influence these firms. It extends previous research by reporting the level of support Moroccan institutional investors give to various explanations for paying dividends.

Market reactions to the inclusion of people with disabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González
Keyword(s):  
Event Study ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
People With Disabilities ◽  
Market Reactions ◽  
Content Type ◽  
Study Methodology ◽  
Research Advance ◽  
The Impact

PurposeThis study aims to provide evidence of market reactions to organizations' inclusion of people with disabilities. Cases from financial journals in 1989–2014 were used to analyze the impact of actions taken by organizations to include or discriminate people with disabilities in terms of the companies' stock prices.Design/methodology/approachThis research is conducted as an event study where the disclosure of information on an organization's actions toward people with disabilities is expected to impact the organization's stock price. The window of the event was set as (−1, +1) days. Stock prices were analyzed to detect abnormal returns during this period.FindingsResults support the hypotheses that investors value inclusion and reject discrimination. Furthermore, the impact of negative actions is immediate, whereas the impact of positive actions requires at least an additional day to influence the firm's stock price. Some differences among the categories were found; for instance, employment and customer events were significantly more important to a firm's stock price than philanthropic actions. It was observed that philanthropic events produce negative abnormal returns on average.Originality/valueThe event study methodology provides a different perspective to practices in organizations regarding people with disabilities. Moreover, the findings in this research advance the literature by highlighting that organizations should consider policies and practices that include people with disabilities.

Testing the weak form of efficient market hypothesis for socially responsible and Shariah indexes in the USA

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abbas Khan ◽  
Muhammad Yar Khan ◽  
Abdul Qayyum Khan ◽  
Majid Jamal Khan ◽  
Zia Ur Rahman
Keyword(s):  
Stock Prices ◽  
Arima Model ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Future Price ◽  
Short Term ◽  
Socially Responsible ◽  
Efficient Market ◽  
Content Type ◽  
The Us

Purpose By testing the weak form of efficient market hypothesis (EMH) this study aims to forecast the short-term stock prices of the US Dow and Jones environmental socially responsible index (SRI) and Shariah compliance index (SCI). Design/methodology/approach This study checks the validity of the weak form of EMH for both SCI and SRI prices by using different parametric and non-parametric tests, i.e. augmented Dickey-Fuller test, Philip-Perron test, runs test and variance ratio test. If the EMH is invalid, the research further forecasts short-term stock prices by applying autoregressive integrated moving average (ARIMA) model using daily price data from 2010 to 2018. Findings The research confirms that a weak form of EMH is not valid in the US SRI and SCI. The historical data can predict short-term future price movements by using technical ARIMA model. Research limitations/implications This study provides better guidance to risk-averse national and international investors to earn higher returns in the US SRI and SCI. This study can be extended to test the EMH of Islamic equity in the Middle East and North Africa region and other top Islamic indexes in the world. Originality/value This study is a new addition to the existing literature of equity investment and price forecasting by comparing and investigating the market efficiency of two interrelated US SRI and SCI.

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