Capital Market Imperfections and the Sensitivity of Investment to Stock Prices

2009 ◽  
Vol 44 (3) ◽  
pp. 551-578 ◽  
Author(s):  
Alexei V. Ovtchinnikov ◽  
John J. McConnell
Keyword(s):  
Capital Markets ◽  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Debt Overhang ◽  
Capital Market Imperfections ◽  
Investment Opportunities ◽  
Imperfect Capital Markets ◽  
Empirical Tests ◽  
External Equity

AbstractPrior studies argue that investment by undervalued firms that require external equity is particularly sensitive to stock prices in irrational capital markets. We present a model in which investment can appear to be more sensitive to stock prices when capital markets are rational, but subject to imperfections such as debt overhang, information asymmetries, and financial distress costs. Our empirical tests support the rational (but imperfect) capital markets view. Specifically, investment–stock price sensitivity is related to firm leverage, financial slack, and probability of financial distress, but is not related to proxies for firm undervaluation. Because, in our model, stock prices reflect the net present values (NPVs) of investment opportunities, our results are consistent with rational capital markets improving the allocation of capital by channeling more funds to firms with positive NPV projects.

scholarly journals Pengaruh Return On Assets (ROA Terhadap Harga Saham dengan Earning PerShare (EPS) sebagai Intervening (Studi Kasus pada Perusahaan Sub SektorTekstil dan Garmen yang terdaftar di Bursa Efek Indonesia Periode 2013-2016)

2018 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Fiona Mutiara Efendi ◽  
Ngatno Ngatno
Keyword(s):  
Regression Analysis ◽  
Capital Markets ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Rapid Development ◽  
Linear Regression Analysis ◽  
Return On Assets ◽  
Analysis Technique ◽  
The Relationship

The rapid development of capital markets are now attracting the attention of people andcapital owners to invest in capital markets. During the year 2013-2016 the average stock price of the textile and garment enterprises sub-sector experienced a fluctuating condition. The financial ratios that are suspected to affect the ups and downs of stock prices are ROA and EPS. The population of this research are 15 Textile and Garment Sub-Sector Companies listed on Indonesia Stock Exchange in 2013-2016. The analysis technique used is linear regression analysis with SPSS program. This study aims to determine the effect of ROA on stock prices through EPS as a mediator. The results showed that ROA has no significant effect on stock prices, but ROA has a significant influence on the mediation variable that is EPS. EPS variable has positive and significant effect to stock price. ROA and EPS have a significant effect on stock prices. EPS is fully mediated variable and can significantly mediate the relationship between ROA and stock prices. Based on the analysis results, can be concluded that the variables that affect the stock price is EPS, while the ROA variable does not affect the stock price. As well as EPS variables can mediated the relationship between ROA and stock prices. The results of this research, it is expected the company further increase the profitability of the company in order to increase the stock price so that it can give benefit the company and investors.

Peran financial distress Altman memediasi kinerja keuangan terhadap harga saham pada BUMN di BEI

2020 ◽  
Vol 2 (1) ◽  
pp. 27-40
Author(s):  
Mia Laksmiwati ◽  
◽  
Sugeng Priyanto ◽  
Keyword(s):  
Financial Performance ◽  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Warning System ◽  
Secondary Data ◽  
Z Score ◽  
Financial Reports ◽  
Score Method ◽  
Program Sample

Purpose: Testing the effect of financial performance consisting of CR, DER, ROA, TATO on stock prices with Financial Distress as the mediating variable. Research methodology: The data are secondary data in the form of financial reports. This research method uses Path Analysis, and to analyze the data using the SPSS version 25 program. Sample of 16 companies listed on the BEI in 2014-2018. Results: CR, ROA affect FD while DER, TATO do not affect FD. Only TATO has a direct effect on stock prices. FD with the Altman Z score method only indicates the DER. Limitations: The historical data used is limited, 5-year time series and the variables: six variables and Altman Z Score method. Contribution: Non-bank SOEs pay attention to CR, DER and ROA that have not influenced share prices and maintain the performance of TATO. SOE must conduct FD analysis, which is an early warning system, solutions can be found immediately if predicted will experience financial difficulties in the future. Keywords: Financial performance, Financial distress, Stock price

scholarly journals Capital markets and the costs of climate policies

2021 ◽  
Author(s):  
Marian Leimbach ◽  
Nico Bauer
Keyword(s):  
Current Account ◽  
Capital Markets ◽  
Global Climate ◽  
Capital Market Imperfections ◽  
Climate Policies ◽  
Current Account Imbalances ◽  
Imperfect Capital Markets ◽  
Mitigation Costs ◽  
Policy Cost ◽  
Account Imbalances

AbstractGlobalization is accompanied by increasing current account imbalances. They can undermine the positive impacts of increasing international cooperation and trade on economic growth and income convergence. At the same time, climate change challenges the global community and requests for co-operative action. Regional energy transformation due to climate policies and the resulting regional mitigation costs are key variables of climate economic analysis. This study is the first that include current account imbalances and imperfect capital markets to investigate potential market feedback mechanisms between climate policies, energy sector transformation and capital markets. Furthermore, it answers the question whether the capital-intensive transformation towards zero-carbon economies increases the policy cost of mitigation under the condition of imperfect capital markets. First results demonstrate a dominant baseline effect of capital market imperfections on macroeconomic variables, and moderate effects on mitigation costs in global climate policy scenarios. For some regions (e.g. Middle East) estimates of relatively high mitigation costs are revised downwards, if imperfect capital markets are considered.

Using Online Data in Predicting Stock Price Movements

2021 ◽  
pp. 1056-1083
Author(s):  
František Dařena ◽  
Jonáš Petrovský ◽  
Jan Přichystal ◽  
Jan Žižka
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Capital Markets ◽  
Stock Prices ◽  
Stock Price ◽  
Price Change ◽  
Online Data ◽  
Substantial Impact ◽  
Structured Document ◽  
Online Texts

A lot of research has been focusing on incorporating online data into models of various phenomena. The chapter focuses on one specific problem coming from the domain of capital markets where the information contained in online environments is quite topical. The presented experiments were designed to reveal the association between online texts (from Yahoo! Finance, Facebook, and Twitter) and changes in stock prices of the corresponding companies. As the method for quantifying the association, machine learning-based classification was chosen. The experiments showed that the data preparation procedure had a substantial impact on the results. Thus, different stock price smoothing, the lags between the release of documents and related stock price changes, levels of a minimal stock price change, different weighting schemes for structured document representation, and classifiers were studied. The chapter also shows how to use currently available open source technologies to implement a system for accomplishing the task.

scholarly journals Stock Prices Predicted by Bankruptcy Condition?

2018 ◽  
Vol 9 (2) ◽  
pp. 105-114
Author(s):  
Irawati Junaeni
Keyword(s):  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Sampling Method ◽  
Stock Exchange ◽  
Bankruptcy Prediction ◽  
Z Score ◽  
Analysis Method ◽  
Simple Regression Analysis ◽  
Score Model

This research had two objectives. First, it determined the prediction of the method of Altman Z-Score whether it could classify banking positions, bankruptcy, or financial distress in the go-public bank in Indonesia Stock Exchange. Second, it was to know the influence of value position of Altman Z-Score on the stock price. The population was 84 banking company listed on the Indonesia Stock Exchange in 2010-2015. The sampling method was purposive sampling. Moreover, data analysis method used was a simple regression analysis. For data processing, it used software Eviews 8. The Z-Score calculations predict the potential bankruptcy of go-public bank in 2010-2015. All results show that Z-Score has the small score of 1,81. It can be said there is a potential bankruptcy. For t-test, it can be concluded that Z-Score has the positive and significant effect on the stock price. The ability of Z-Score values in explaining the stock price is 95,50% while the remaining 4,50% is influenced by other variables that are not analyzed in the research. With some weaknesses of Altman’s Z-Score model, this research has the implication for management bank. It improves the financial performance for the future to avoid opportunity bankruptcy prediction. The results show how the effect of bankruptcy on banking stock prices.

Using Online Data in Predicting Stock Price Movements

2019 ◽  
pp. 125-159
Author(s):  
František Dařena ◽  
Jonáš Petrovský ◽  
Jan Přichystal ◽  
Jan Žižka
Keyword(s):  
Machine Learning ◽  
Open Source ◽  
Capital Markets ◽  
Stock Prices ◽  
Stock Price ◽  
Price Change ◽  
Online Data ◽  
Substantial Impact ◽  
Structured Document ◽  
Online Texts

A lot of research has been focusing on incorporating online data into models of various phenomena. The chapter focuses on one specific problem coming from the domain of capital markets where the information contained in online environments is quite topical. The presented experiments were designed to reveal the association between online texts (from Yahoo! Finance, Facebook, and Twitter) and changes in stock prices of the corresponding companies. As the method for quantifying the association, machine learning-based classification was chosen. The experiments showed that the data preparation procedure had a substantial impact on the results. Thus, different stock price smoothing, the lags between the release of documents and related stock price changes, levels of a minimal stock price change, different weighting schemes for structured document representation, and classifiers were studied. The chapter also shows how to use currently available open source technologies to implement a system for accomplishing the task.

Effect of Financial Performance on Stock-Prices in Food and Beverages Firm

2021 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Nur Alam ◽  
Nur Aida ◽  
Afiah Mukhtar
Keyword(s):  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Share Price ◽  
Annual Reports ◽  
Return On Equity ◽  
Food And Beverage

This study examines the effect of financial ratios on Food and Beverage stock prices (F&B). The study uses a sample of Food and Beverage firms listed on the IDX period 2017-2019. By the 31 companies as the population, we decided the sample just 14 F&B companies; the study's total sample was 42 financial statements and annual reports with the purposive sampling method. Hypothesis testing was used in this study using multiple linear regression analysis. This study indicates that Return on Equity (ROE) has a significant positive effect on stock prices. In contrast, Return on Assets (ROA), Net Profit Margin (NPM), Current Ratio (CR), Debt to Equity Ratio (DER), and Debt to Assets Ratio (DAR) partially has no significant effect on stock prices. Therefore, first, the company should pay attention to the level of the company's liability. The ratios related to the comparison with debt tend to be at a safe point from financial distress to increase the company's share price, especially in the food and beverage sub-sector. Secondly, for investors to invest in companies, especially the food and beverage sector, they need to pay attention to Return on Equity (ROE) because it significantly affects its stock price with this ratio.

scholarly journals Effect of Financial Performance on Stock-Prices in Food and Beverages Firm

2021 ◽  
Vol 1 (2) ◽  
pp. 61-74
Author(s):  
Nur Alam ◽  
Nur Aida ◽  
Afiah Mukhtar
Keyword(s):  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Linear Regression Analysis ◽  
Total Sample ◽  
Multiple Linear Regression Analysis ◽  
Share Price ◽  
Annual Reports ◽  
Return On Equity ◽  
Food And Beverage

This study examines the effect of financial ratios on Food and Beverage stock prices (F&B). The study uses a sample of Food and Beverage firms listed on the IDX period 2017-2019. By the 31 companies as the population, we decided the sample just 14 F&B companies; the study's total sample was 42 financial statements and annual reports with the purposive sampling method. Hypothesis testing was used in this study using multiple linear regression analysis. This study indicates that Return on Equity (ROE) has a significant positive effect on stock prices. In contrast, Return on Assets (ROA), Net Profit Margin (NPM), Current Ratio (CR), Debt to Equity Ratio (DER), and Debt to Assets Ratio (DAR) partially has no significant effect on stock prices. Therefore, first, the company should pay attention to the level of the company's liability. The ratios related to the comparison with debt tend to be at a safe point from financial distress to increase the company's share price, especially in the food and beverage sub-sector. Secondly, for investors to invest in companies, especially the food and beverage sector, they need to pay attention to Return on Equity (ROE) because it significantly affects its stock price with this ratio.

scholarly journals Analysis Of Current Ratio, Debt To Assets Ratio And Gross Profit Margin On Financial Distress With Moderated Share Prices In Retail Companies Listed In Securities Exchange

2021 ◽  
Vol 2 (1) ◽  
pp. 23-33
Author(s):  
Deni Sunaryo
Keyword(s):  
Regression Analysis ◽  
Stock Prices ◽  
Financial Distress ◽  
Stock Price ◽  
Stock Exchange ◽  
Profit Margin ◽  
Current Ratio ◽  
Financial Reports ◽  
Share Prices ◽  
Analysis Technique

This study aims to determine how much influence Current Ratio (CR), Debt to Asset Ratio (DAR) and Gross Profit Margin (GPM) on Financial Distress and moderated by Stock Prices. The population in this study were 24 companies in the retail subsector listed on the Southeast Asian Stock Exchange for the period 2012-2019. The method used is purposive sampling so that 15 companies that present complete financial reports according to the variables studied and obtained as many as 105 company samples were subjected to data outliers because the data did not have a normal distribution, thus 81 samples were obtained. The analysis technique used is multiple regression analysis and Moderated Regression Analysis (MRA). The results showed that the Debt to Asset Ratio (DAR) partially affected Financial Distress, while Current Ratio (CR) and Gross Profit Margin (GPM) partially had no significant effect on Financial Distress and simultaneously CR, DAR, GPM had an effect on Financial Distress. The moderation test shows that the stock price in this study is proven to moderate the relationship of the independent variables (CR, DAR and GPM) to the dependent variable (Financial Distress).

Leverage Change, Debt Overhang, and Stock Prices

CFA Digest ◽  
2011 ◽  
Vol 41 (3) ◽  
pp. 19-21
Author(s):  
Chenchuramaiah T. Bathala
Keyword(s):  
Stock Prices ◽  
Debt Overhang
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