Confirming Anomalies

Author(s):  
Peter Chinloy ◽  
Matthew Imes

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.

2015 ◽  
Vol 105 (5) ◽  
pp. 315-320 ◽  
Author(s):  
Malcolm Baker ◽  
Jeffrey Wurgler

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.


1990 ◽  
Vol 18 (1) ◽  
pp. 22-39 ◽  
Author(s):  
Brian A. Marts ◽  
Fayez A. Elayan

2017 ◽  
Vol 33 (1) ◽  
pp. 77-92 ◽  
Author(s):  
Robert Ranosz

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%.


2011 ◽  
Vol 1 (1) ◽  
pp. 9-18 ◽  
Author(s):  
Rodolfo Apreda

This paper sets forth another contribution to the long standing debate over cost of capital, firstly by introducing a multiplicative model that translates the inner structure of the weighted average cost of capital rate and, secondly, adjusting such rate for governance risk. The conventional wisdom states that the cost of capital may be figured out by means of a weighted average of debt and capital. But this is a linear approximation only, which may bring about miscalculations, whereas the multiplicative model not only takes account of that linear approximation but also the joint outcome of expected costs of debt and stock, and their proportions in the capital structure. And finally, we factor into the cost of capital expression a rate of governance risk.


2014 ◽  
Vol 2 (2) ◽  
Author(s):  
Murtianingsih .

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


2020 ◽  
pp. 71-75
Author(s):  
Svetlana Viktorovna Lepeshkina

The article discusses the theoretical aspects of issues related to the assessment of capital, the formation of its structure from the point of view of making management decisions in cost formation on its attraction and maintenance. The concept of “capital” is clarified from the point of view of its formation and subsequent efficiency assessment. The approach to the formation of capital structure concepts of the modern period on the development basis is justified. The method of estimating the cost of capital and the formation of the target capital structure, based on the inclusion of transaction costs in the cost of capital, which allows you to more accurately determine the size of these costs in relation to the amount of equity and more accurately generate the weighted average cost of capital of the organization. The empirical nature of the study allows us to use the proposed method of forming the capital structure in relation to various (individual) conditions of the organization’s functioning, followed by clarification of the parameters of decision-making based on the set goals of the organization’s activities.


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