scholarly journals Institutional Investment Constraints and Stock Prices

2017 ◽  
Vol 52 (2) ◽  
pp. 465-489 ◽  
Author(s):  
Jie Cao ◽  
Bing Han ◽  
Qinghai Wang

We test the hypothesis that investment constraints in delegated portfolio management may distort demand for stocks, leading to price underreaction to news and stock return predictability. We find that institutions tend not to buy more of a stock with good news that they already overweight; they are reluctant to sell a stock with bad news that they already underweight. Stocks with good news overweighted by institutions subsequently significantly outperform stocks with bad news underweighted by institutions. The impact of institutional investment constraints sheds new light on asset pricing anomalies such as stock price momentum and post–earnings announcement drift.

CONVERTER ◽  
2021 ◽  
pp. 129-143
Author(s):  
Tao Zhang, Wanzhen Yu

This paper collects 2670 deferred income tax samples from 211 listed industrial companies that have been surviving and continuously disclosing deferred income tax accounting information from 2007 to 2019. On the basis of ohlson model, earnings per share and net flow of operating activities per share are added as adjustment variables to analyze the impact of deferred income tax on stock prices. The results show that:(1) In the long run, DTAs are positively correlated with enterprise stock prices, while DTLs are negatively correlated with enterprise stock prices; (2) After adding the adjustment variable earnings per share, it is found that when EPS level is high, DTAs have a slightly downward negative impact on stock prices, while DTLs have little negative impact on stock prices. When EPS level is low, DTAs have a positive impact on stock prices, while lower earnings per share will accelerate the negative impact of DTLs on stock prices. (3) After adding the adjustment variable CFO, it is found that only when the CFO is sufficient, DTAs are really good news. It has a positive impact on stock price. If the CFO is poor, the positive impact of recognized DTAs on stock price is almost zero. In addition, when the CFO is high, the negative impact of DTLs on price will be accelerated.


Author(s):  
Ding Ding ◽  
Chong Guan ◽  
Calvin M. L. Chan ◽  
Wenting Liu

Abstract As the 2019 novel coronavirus disease (COVID-19) pandemic rages globally, its impact has been felt in the stock markets around the world. Amidst the gloomy economic outlook, certain sectors seem to have survived better than others. This paper aims to investigate the sectors that have performed better even as market sentiment is affected by the pandemic. The daily closing stock prices of a total usable sample of 1,567 firms from 37 sectors are first analyzed using a combination of hierarchical clustering and shape-based distance (SBD) measures. Market sentiment is modeled from Google Trends on the COVID-19 pandemic. This is then analyzed against the time series of daily closing stock prices using augmented vector autoregression (VAR). The empirical results indicate that market sentiment towards the pandemic has significant effects on the stock prices of the sectors. Particularly, the stock price performance across sectors is differentiated by the level of the digital transformation of sectors, with those that are most digitally transformed, showing resilience towards negative market sentiment on the pandemic. This study contributes to the existing literature by incorporating search trends to analyze market sentiment, and by showing that digital transformation moderated the stock market resilience of firms against concern over the COVID-19 outbreak.


Author(s):  
Jinghai Shao ◽  
Sovan Mitra ◽  
Andreas Karathanasopoulos

AbstractIn this paper we provide a stock price model that explicitly incorporates credit risk, under a stochastic optimal control system. The stock price model also incorporates the managerial control of credit risk through a control policy in the stochastic system. We provide explicit conditions on the existence of optimal feedback controls for the stock price model with credit risk. We prove the continuity of the value function, and then prove the dynamic programming principle for our system. Finally, we prove the Viscosity Solution of the Hamilton–Jacobi–Bellman equation. This paper is particularly relevant to industry, as the impact of credit risk upon stock prices has been prominent since the commencement of the Global Financial Crisis.


Author(s):  
Kuo-Jung Lee ◽  
Su-Lien Lu

This study examines the impact of the COVID-19 outbreak on the Taiwan stock market and investigates whether companies with a commitment to corporate social responsibility (CSR) were less affected. This study uses a selection of companies provided by CommonWealth magazine to classify the listed companies in Taiwan as CSR and non-CSR companies. The event study approach is applied to examine the change in the stock prices of CSR companies after the first COVID-19 outbreak in Taiwan. The empirical results indicate that the stock prices of all companies generated significantly negative abnormal returns and negative cumulative abnormal returns after the outbreak. Compared with all companies and with non-CSR companies, CSR companies were less affected by the outbreak; their stock prices were relatively resistant to the fall and they recovered faster. In addition, the cumulative impact of the COVID-19 on the stock prices of CSR companies is smaller than that of non-CSR companies on both short- and long-term bases. However, the stock price performance of non-CSR companies was not weaker than that of CSR companies during times when the impact of the pandemic was lower or during the price recovery phase.


2013 ◽  
Vol 48 (5) ◽  
pp. 1519-1544 ◽  
Author(s):  
George J. Jiang ◽  
Tong Yao

AbstractWe identify large discontinuous changes, known as jumps, in daily stock prices and explore the role of jumps in cross-sectional stock return predictability. Our results show that small and illiquid stocks have higher jump returns to the extent that cross-sectional differences in jumps fully account for the size and illiquidity effects. Based on value-weighted portfolios, jumps also account for the value premium. On the other hand, jumps are not the cause of momentum or net share issue effects. The findings of our study shed new light on stock return dynamics and present challenges to conventional explanations of stock return predictability.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González

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.


2019 ◽  
Vol 12 (2) ◽  
pp. 242-266 ◽  
Author(s):  
Derek Walker ◽  
Beverley Lloyd-Walker

Purpose The purpose of this paper is to explore recent literature on the impact of changes in the workplace environment and projected trends through to the year 2030. This allows the authors to identify and discuss what key trends are changing the nature of project organising work. The authors aim to identify what knowledge and which skills, attributes and experiences will be most likely valued and needed in 2030. Design/methodology/approach This paper is essentially a reflective review and is explorative in nature. The authors focus on several recent reports published in the UK and Australia that discuss the way that the future workforce will adapt and prepare for radical changes in the workplace environment. The authors focus on project organising work and the changing workplace knowledge, skills, attributes and experience (KSAE) needs of those working in project teams in 2030 and beyond. The authors draw upon existing KSAE literature including findings from a study undertaken into the KSAEs of project alliance managers working in a highly collaborative form of project delivery. Findings The analysis suggests that there is good and bad news about project workers prospects in 2030. The good news is that for those working in non-routine roles their work will be more interesting and rewarding than is the case for today. The bad news is that for workers in routine work roles, they will be replaced by advanced digital technology. Research limitations/implications Few, if any, papers published in the project organising literature speculate about what this discipline may look like or what KSAEs will be valued and needed. Practical implications This paper opens up a debate about how project management/project organising work will be undertaken in future and what skills and expertise will be required. It also prompts project managers to think about how they will craft their careers in 2030 in response to expected work environment demands. This will have professional and learning implications. Social implications The issue of the future workplace environment is highly relevant to the social context. Originality/value This paper is about a projected future some 12 years onward from today. It bridges a gap in any future debate about how project organising jobs may change and how they will be delivered in the 2030s.


2021 ◽  
Vol 11 (4) ◽  
pp. 5132-5144
Author(s):  
Nitish Rane ◽  
Pooja Gupta

This study aims to examine the impact of financial ratios on the stock prices of companies listed on NIFTY Bank. Nifty Bank is a sub-index of NIFTY 50 and has various listed banks included based on the criteria given by NSE. This study data has been taken from the period 2010-2019 and taken from the company annual reports. The analysis is done using panel data regression and other tests to verify the best model for the dataset. The results obtained from this study show that the capital adequacy ratio and the dividend payout ratio do not impact the stock price. In contrast, earnings per share, net NPA ratio, and basic earnings per share, net profit margin, and net interest margin exhibited a relationship with the stock price. In the Indian context, there is less research available on this topic, and the idea chosen for the study is original. Along with this, the data collected for the study and the code used for analysis is original work. New investors can use the results of this study in the Indian stock market to analyze a stock and take proper investment decisions. Another practical usage of this study is that banking sector companies can improve their ratios to attract new investors.


2021 ◽  
Vol 13 (18) ◽  
pp. 10146
Author(s):  
Shoma Sakamoto ◽  
Shintaro Sengoku

The stock prices of a company are significantly influenced by changes of its business relationships. However, the effectiveness of stock price prediction based on such inter-firm business relationships has been partially confirmed in limited region and/or timeframe cases. In particular, it has not been verified under highly volatile market conditions such as those caused by the COVID-19 pandemic. To address these issues, we analyzed the impact of supplier–customer relationships on stock prices in the case of the Japanese stock market using The Fama-French three-factor model and publicly available information of business relationships. The subjects were classified into two conditions—normal and COVID-19—and the stock price predictability associated with changes of stock prices of related companies for both short and long holding periods. As a result, the significance of stock price predictability was confirmed on a daily and monthly basis in the given region. In addition, specific factors including a volatile event caused by a customer company, a stock price downturn, and the company size of a customer particularly improved stock price predictability in the pandemic.


Author(s):  
Thị Lam Hồ ◽  
Thùy Phương Trâm Hồ

Dividend policy is one of the most important policies in corporate finance management. Understanding the impact of dividend policy on the distribution of profits, corporate value and thus on the stock price is important for business managers to make policies and for investors to make investment decisions. This study is conducted to evaluate the impact of dividend policy on share prices for companies listed on Vietnam’s stock market in the period from 2010 to 2018, based on the availability of continuous dividend payment data. Using the FGLS method with panel data of 100 companies listed on the HoSE and HNX, we find evidence of the impact of dividend policy on stock prices, supporting supports the bird in the hand and the signal detection theories. The findings of this study help to suggest a few recommendations for business managers and investors.


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