scholarly journals Does Mispricing Affect Investment And Capital Structure Of Indonesian Firms?

2011 ◽  
Vol 4 (2) ◽  
Author(s):  
Risal Rinofah ◽  
Irwan Trinugroho
Keyword(s):  
Capital Structure ◽  
Stock Price ◽  
Cost Of Capital ◽  
Financial Constraint ◽  
Market Sentiment ◽  
Investment Level ◽  
Equity Ratio ◽  
Fundamental Value ◽  
High Level ◽  
The Cost

Stock price movement is not entirely a reflection of its fundamental value because of there are non-fundamental factors such as market sentiment (Keynes, 1936), behavioral biases of investors (Lakonishok et al., 1994), systematic errors when assessing stock (Stein, 1996), asymmetric information (Tobin, 1969) causing the value of stock deviate from its fundamental value (misprice). This condition can affect corporate investment decisions because managers can take advantage of overvalued stock condition as a source of investment funding because the cost of capital becomes cheaper. Conversely, firms avoid selling stocks at undervalued due to high cost of capital. Therefore, the objectives of this research is to examine the effect of mispricing to firms investment behavior and to firms capital structure. We also test the role of the level of financial constraint in the relationship between mispricing and investment.Using panel data regression with data observation for five years, we find that mispricing have positif impact to firms investment level. However, this effect is not diverse whether on a group of firms which have a high level of financial constraint (financially constraint) or those which have a low level of financial constraint (less constraint). Moreover, this research also find that the mispricing can also influence firms in choosing sources of funding which can be seen on their debt to equity ratio (D/E). To check the accuracy of examination, we employ some robustness test and use several control variables. These results are consistent with and can be explained using market timing and catering hypotesis. 

scholarly journals PENGARUH DETERMINAN STRUKTUR MODAL TERHADAP NILAI PERUSAHAAN (Studi Kasus Pada Perusahaan Properti Di Bursa Efek Indonesia)

2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Murtianingsih .
Keyword(s):  
Capital Structure ◽  
Firm Size ◽  
Cost Of Capital ◽  
Size Structure ◽  
Stock Exchange ◽  
Business Risk ◽  
Growth Opportunity ◽  
Property Companies ◽  
Equity Ratio ◽  
The Cost

MurtianingsihProgram Pascasarjana Magister Manajemen UMME-mail:[email protected] research was to know the effect of profitability, firm size, liquidity, structure asset, businessrisk, and cost of capital to capital structure at property simultaneously listed on IndonesiaStock Exchange and to know the variable which have partial effect to the capital structure.The research was taken place at Indonesia Stock Exchange Economics Faculty ofMuhammadiyah University Malang. Respondent are 21 property companies listed in IndonesiaStock Exchange. Purposive sampling was used to determine companies during five-years.Secondary data was taken between the year of 2006 up to 2010. Multiple regression analysisused to know the effect of profitability, firm size, liquidity, structure asset, business risk, andcost of capital to capital structure with 5 % of significance. The result of simultaneously regression(F test) exemplify that the variable profitability, firm size, structure asset, growthopportunity, liquidity, the cost of capital, business risk had significant effects to the capitalstructure of 21 property companies listed in Indonesia Stock Exchange. While the test of partialregression (t test), for the variable of profitability, growth opportunity, liquidity, cost ofcapital had effects to capital structure of property companies listed in Indonesia Stock Exchange,except the firm size, business risk, structure asset have no significant effects to thecapital structure of the property companies.Keyword: Debt to equity ratio, company size, profitability, growth, business risk and asset structure,cost of capital, liquidity

Confirming Anomalies

2021 ◽  
pp. 2150024
Author(s):  
Peter Chinloy ◽  
Matthew Imes
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Cost Of Capital ◽  
Simultaneous Equations ◽  
Second Stage ◽  
Predicted Values ◽  
The Cost ◽  
Over Time ◽  
Identification Strategy

A procedure confirms whether a return-factor correlation is anomalous or results from endogenous simultaneous-equations bias. The identification strategy sorts the cost of capital components for instruments. In the first stage, the initially found factors are regressed on cost instruments. In the second stage, a confirmed anomaly has predicted value significant in returns and exogenous. Taxes, depreciation and capital structure are strong instruments, affecting 1980–2017 quarterly U.S. stock returns. Size, value and profitability decisions are significant in instruments. Returns increase in fitted profits, but not small size. Actual and predicted values have weaker correlation with returns over time.

Cost of capital and asset characteristic value

2021 ◽  
pp. 2150007
Author(s):  
Bill Y. Shen
Keyword(s):  
Stock Price ◽  
Cost Of Capital ◽  
Investment Decision ◽  
Fair Value ◽  
Secondary Market ◽  
Credit Spread ◽  
Structure Model ◽  
Characteristic Value ◽  
Option Theory ◽  
The Cost

We propose a possible alternative to WACC as cost of capital for a business investment decision through option theory. The cost of capital in this new definition becomes forward-looking and easy to compute with traded market information as inputs. More importantly, it is a fair value- based approach and does not depend on investors’ own expectation. An important parameter “asset characteristic value” is identified and its role is further illustrated by using Merton’s capital structure model. Asset characteristic value can be calibrated by using stock price or credit spread observed from a secondary market.

Capital Structure and the Cost of Capital for Untaxed Firms: The Case of REITs

1990 ◽  
Vol 18 (1) ◽  
pp. 22-39 ◽  
Author(s):  
Brian A. Marts ◽  
Fayez A. Elayan
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
The Cost

scholarly journals Do Strict Capital Requirements Raise the Cost of Capital? Bank Regulation, Capital Structure, and the Low-Risk Anomaly

2015 ◽  
Vol 105 (5) ◽  
pp. 315-320 ◽  
Author(s):  
Malcolm Baker ◽  
Jeffrey Wurgler
Keyword(s):  
Capital Structure ◽  
Stock Returns ◽  
Cost Of Capital ◽  
Weighted Average ◽  
Capital Requirements ◽  
Structure Theory ◽  
Treasury Bills ◽  
Percentage Point Increase ◽  
Point Increase ◽  
The Cost

Traditional capital structure theory predicts that reducing banks' leverage reduces the risk and cost of equity but does not change the weighted average cost of capital, and thus the rates for borrowers. We confirm that the equity of better-capitalized banks has lower beta and idiosyncratic risk. However, over the last 40 years, lower risk banks have not had lower costs of equity (lower stock returns), consistent with a stock market anomaly previously documented in other samples. A calibration suggests that a binding ten percentage point increase in Tier 1 capital to risk-weighted assets could double banks' risk premia over Treasury bills.

An analysis of cost of capital, capital structure and capital budgeting practices: a survey of South African listed companies

2008 ◽  
Vol 16 (2) ◽  
pp. 31-52 ◽  
Author(s):  
C. Correia ◽  
P. Cramer
Keyword(s):  
Capital Structure ◽  
South African ◽  
Cost Of Capital ◽  
Emerging Market ◽  
Capital Budgeting ◽  
Listed Companies ◽  
Sample Survey ◽  
The South ◽  
Equity Ratio ◽  
Finance Theory

This study employs a sample survey to determine and analyse the corporate finance practices of South African listed companies in relation to cost of capital, capital structure and capital budgeting decisions.The results of the survey are mostly in line with financial theory and are generally consistent with a number of other studies. This study finds that companies always or almost always employ DCF methods such as NPV and IRR to evaluate projects. Companies almost always use CAPM to determine the cost of equity and most companies employ either a strict or flexible target debt‐equity ratio. Furthermore, most practices of the South African corporate sector are in line with practices employed by US companies. This reflects the relatively highly developed state of the South African economy which belies its status as an emerging market. However, the survey has also brought to the fore a number of puzzling results which may indicate some gaps in the application of finance theory. There is limited use of relatively new developments such as real options, APV, EVA and Monte Carlo simulation. Furthermore, the low target debt‐equity ratios reflected the exceptionally low use of debt by South African companies.

scholarly journals Analysis of the structure and cost of capital in mining enterprises

2017 ◽  
Vol 33 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Robert Ranosz
Keyword(s):  
Capital Structure ◽  
Cost Of Capital ◽  
Cost Of Debt ◽  
Cost Of Equity ◽  
Mining Company ◽  
Optimal Capital Structure ◽  
Mining Companies ◽  
Debt Capital ◽  
Capital Funding ◽  
The Cost

AbstractThis article focuses on the analysis of the structure and cost of capital in mining companies. Proper selection of appropriate levels of equity and debt capital funding of investment has a significant impact on its value. Thus, to maximize the value of the company, the capital structure of the company should be composed to minimize the weighted average cost of capital. T he objective of the article is to present the capital structure of selected Polish and world’s mining companies and estimate their cost of equity and debt capital. In the paper the optimal capital structure for the Polish mining company (KGHM SA) was also estimated. It was assumed that both Polish and world’s mining companies, have no debt exceeding 45% in the financing structure. For the most of analyzed cases, the level of financing with debt capital is in the range between 10% and 35%. T he cost of equity exceeds the cost of debt capital and is in the range between 8% and 20%, while the cost of debt capital reaches the range between 1.9% and 12%. T he analysis of the optimal capital structure determining, performed for the selected mining company, showed that debt capital funding for the company should be in the range between 5.7% and 7.4%.

Sign in / Sign up

Export Citation Format

Share Document