• Journal of Korean Society of Industrial and Systems Engineering
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• v.9 no.14
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• pp.49-58
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• 1986

Those facts I have studied on the theoretical characteristics of stock price earning ratio related with firm evaluation are as followings. First, I have investigated stock valuation analysis under certainty in view of Miller's, Modigliani's and Linter's theories in Chapter Ⅱ, and it is found that stock valuation under uncertainty to which the basic model of MM theory and the concept of capitalization ratio are applied is the same output, as in the case under certainty. And I have examined the stock valuation of growth corporations in which net investment, total capitals and operating profits are expected. Second, I have reexamined the fact that stock price profits are the erotical indices of firm valuation and the firm valuation on the basis of stock price earning ratio in Chapter III. As a whole, I have surveyed the stock price earning ratio theory of the growth stocks and there have been found some problems as such scholars as Malkiel and others have suggested focusing on the stock price structure of growth stocks. To conclude, there must be incessant efforts for the study of security analysis to make it develop ideally.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.7
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• pp.2930-2936
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• 2012

This paper examines the effects of corporate ownership structure variables on stock returns. The dependent variables identified in this paper include the equity ratio of large shareholders, institutional investors and foreign investors, and the control variables are firm size, book-to-market ratio, and earning-to-price ratio and leverage. This paper finds that the results of regressions say that institutional investors and foreign investors, firm size, book-to-market ratio and earning-to-price ratio can explain the differences in stock returns using panel data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2526-2531
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• 2014

This paper has analyzed the effects of CEO turnover and other fundamental variables on stock returns. Therefore, the major purpose of this study is to analyze CEO turnover having a systematical effect on the stock return. The paper uses panel data analysis. We find that the results of regressions say that CEO turnover, book-to-market ratio, earning-to-price ratio, cash flow-to-price ratio, and firm size can explain the differences in average returns across stocks.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.3
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• pp.1035-1041
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• 2012

This paper examines the effects of fundamental variables on stock returns. Therefore, the major purpose of this study is to identify fundamental variables having a systematical effect on the stock return. The paper uses panel data analysis. We find that the results of regressions say that firm size, book-to-market ratio(B/M), earning-to-price ratio(E/P), cash flow-to-price ratio(C/P) can explain the differences in average returns across stocks.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.745-760
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• 2021

Prediction of a stock price has been a subject of interest for a long time in financial markets, and thus, many studies have been conducted in various directions. As the efficient market hypothesis introduced in the 1970s acquired supports, it came to be the majority opinion that it was impossible to predict stock prices. However, recent advances in predictive models have led to new attempts to predict the future prices. Here, we summarize past studies on the price prediction by evaluation measures, and predict the direction of stock prices of Samsung Electronics, LG Chem, and NAVER by applying various machine learning models. In addition to widely used technical indicator variables, accounting indicators such as Price Earning Ratio and Price Book-value Ratio and outputs of the hidden Markov Model are used as predictors. From the results of our analysis, we conclude that no models show significantly better accuracy and it is not possible to predict the direction of stock prices with models used. Considering that the models with extra predictors show relatively high test accuracy, we may expect the possibility of a meaningful improvement in prediction accuracy if proper variables that reflect the opinions and sentiments of investors would be utilized.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.29-36
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• 2020

Stock price multiple is one of the most well-known equity valuation technique used to forecast equity price. It measures by multiplying "the ratio of stock price to a value driver" by a value driver. The value driver can be earning per share (EPS), sales or other financial measurements. The objective of price multiple technique is to evaluate the value of assets and compare how similar assets are priced in the market. Although stock price multiple technique is common in financial filed, studies on the application of the technique in Thailand is still limited. The present study is conducted to serve three major objectives. The first objective is to apply the technique to measure value of firms in banking sector in the Stock Exchange of Thailand. The second objective is to develop composite price multiple index to forecast equity prices. The third objective is to compare valuation accuracy of different value drivers of price multiple (i.e. EPS, Earnings Growth, Earnings Before Interest Taxes Depreciation and Amortization, Sales, Book Value and Composite Index) in forecasting equity prices. Results indicated that EPS is the most accurate value drivers of price multiple used to forecast equity price of firms in baking sector.

• Journal of the Korean Operations Research and Management Science Society
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• v.1 no.1
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• pp.139-145
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• 1976

To evaluate the composite composed of Shell-Oil Co. itself and its sub-sidiary companies, the account data for 10 years from 1964 to 1973 was analyzed. Before analyzing, the formula needed to it was deduced and by synthesizing the deduced formula, the price earning ratio (R) was computed as the trial and error method. Resultantly the earning power (ic) was less than 5% ie. R=17.03. So this company showed the normal company earnings and allotment from 1964 to 1968. From 1968 to 1970, the allotment was increased but the earnings was decreased. And in spite of the successive increase of the allotment from 1970 to 1973, the company showed that it was the stable and profitable one with stable increase of earnings. In conclusion, this company showed the stable trend of increase in the allotment of earnings and earnings itself.

• Korean Management Science Review
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• v.28 no.3
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• pp.61-72
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• 2011

This study suggests a DEA(Data Envelopment Analysis) based model to evaluate the value of corporate stock. The model integrating PER(Price-Earning Ratio), PBR(Price-BookValue Ratio), PSR(Price-Sales Ratio) and volatility in DEA structure has an advantage of overcome the limitation of traditional financial ratio based models. In order to show the effectiveness of the suggested model. we compare the performance of portfolio composed by DEA approach with those of portfolios made by traditional approaches such as PER, PBR, and PSR in terms of stock return and volatility. Specifically, we use the data of all the enterprises listed on the S&P 500 in the U.S. in 2007 and 2009 as the sample data for the experiments. The results of the experiments show that the performance of the DEA approach is clearly better than those of other approaches. Particularly, in sharply plummeting market, the performance of the DEA approach is shown to be prominently better than those of other approaches as the DEA approach reflects investment risk as well as profitability and growth. The DEA score combining the existing investment indices may serve as a useful barometer for selecting a stable and profitable portfolio.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.101-106
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• 2020

The research was conducted with the aim of knowing the effect of the CAMELS ratio either partially or simultaneously on stock prices. The CAMELS ratio (Capital, Asset Quality, Management, Earning, Liquidity) is used to measure the soundness of a bank, where by the better the soundness of the bank, the more profitable the bank will be for potential investors and other interested parties. The population of this research consists of the four state banks documented on the Indonesia Stock Exchange over the 2012-2019 period. The sample selection technique is a saturated sampling. This study provides the results that partially CAR has a significant effect on the share price of government banks listed on the IDX. Meanwhile, NPL, NPM, ROA, and LDR do not have a significant effect on stock prices of state banks listed on the IDX. The results of the regression analysis show that, together the CAMELS ratio, which is proxied by CAR, NPLS, NPM, ROA, and LDR has a positive and significant influence on the share price of state-owned banks documented on the Indonesia Stock Exchange, so this can be used as a reference for investors in predicting the share price of a state-owned bank before investing in shares.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.107-119
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• 2020

The study investigates the effect of the widened daily stock price limits on the usefulness of accounting information in Korea: 1) whether investors place a higher importance on audit quality, an indicator of the reliability of accounting information, and 2) whether there are differences in the relationships between audit quality and stock-price earning-rates two years before and after June 15, 2016. This study employs samples of two years (2013 to 2015) before the widening and two years after the widening (2016 to 2017). The samples are limited to the companies listed on the Korea Stock Exchange, accounting settled in December, collected from Fn-Guide and TS-2000 of the Korea Listed Companies Association. The results show that the positive association between audit quality and stock return was increased during the later period, compared to the preceding period. This tendency was more evident in companies with higher debt ratios and companies with lower levels of income smoothing, which is considered to have higher risks. The findings suggest that it is the first study evaluating the effect of widening daily stock price limits, made on June 15, 2015, on the usefulness of audit quality information by examining the relevance between audit quality and stock return.