• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.977-985
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• 2021

The main aim of the study is to provide empirical evidence about the association between stock market exchange data and weighted price index. This research utilized monthly reported data from the Amman stock exchange market (ASE) and the Central Bank of Jordan (CBJ). The weighted price index was employed as the dependent variable and the independent variables were weighted price index (WPI), turnover ratio (TOR), number of trading days (NTD), price-earnings ratio (PER), and dividends yield ratio (DY). The time period of the study was from January 2015 to October 2020. The study's methodology follows a quantitative approach using the multiple regression method to test the hypotheses of the study. The final results of the study provided conclusive evidence that the market-weighted price index is strongly and positively correlated to three predetermined variables, namely; turnover ratio, price-earnings ratio, and dividend yield but no evidence was obtained for the effect of the number of trading days. The finding of the current study proved that the market price index is not only influenced by macro factors, but also by other variables assumed to not beneficial for the judgment of price index movements.

• 무역학회지
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• 제45권2호
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• pp.229-262
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• 2020

The price-to-earnings ratio (PER) is an important indicator to measure the stock price and profitability of a firm; it is also the most used valuation indicator among investors. When using the PER to compare the investment values of different stocks, these stocks must come from the same sector. This study mainly focuses on the China's listed manufacturing firms. By learning from previous research results and analyzing the current situation, we studied the correlation between the manufacturing sector's PER and its influencing factors from both macro and micro perspectives, the combination of which eventually sheds light on such correlation. Analyzing GDP growth rate data, Manufacturing Purchasing Managers' Index, and other macroeconomic variables from 2008 to 2018, we conclude that these variables jointly have a certain impact on the average PER of the manufacturing sector. We then form panel data based on relevant (2014-2018) data gathered from 317 of China's A-listed manufacturing firms to study the impact of micro-variables on PER. By using Stata and other software to analyze the panel data, we reach the conclusion that the Debt to Asset Ratio, Return on Equity, EPS growth rate, Operating Profit Ratio, Dividend Payout Ratio, and firm size have a significant impact on PER. The Current Ratio, Treasury Stock ratio and Ownership Concentration have no distinct effect on PER. Based on our empirical findings, we design a theoretical model that affects the PER.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.203-215
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• 2022

Bayesian Networks are multivariate probabilistic factor graphs that are used to assess underlying factor relationships. From January 2005 to December 2018, the study examines how Dynamic Bayesian Networks can be utilized to estimate portfolio risk and return as well as determine inter-factor relationships among reversal profit-generating components in Pakistan's emerging market (PSX). The goal of this article is to uncover the factors that cause reversal profits in the Pakistani stock market. In visual form, Bayesian networks can generate causal and inferential probabilistic relationships. Investors might update their stock return values in the network simultaneously with fresh market information, resulting in a dynamic shift in portfolio risk distribution across the networks. The findings show that investments in low net profit margin, low investment, and high volatility-based designed portfolios yield the biggest dynamical reversal profits. The main triggering aspects related to generation reversal profits in the Pakistan market, in the long run, are net profit margin, market risk premium, investment, size, and volatility factor. Investors should invest in and build portfolios with small companies that have a low price-to-earnings ratio, small earnings per share, and minimal volatility, according to the most likely explanation.

• 지식경영연구
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• 제22권2호
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• pp.247-268
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• 2021

투자자들은 기업가치를 평가하기 위하여 재무비율을 활용하는데 특히 PER과 PBR은 적정 기업가치를 판단하는데 중요한 역할을 하는 대표적인 수치로 알려져 있다. 금융자료는 꼬리가 매우 두터운 형태의 분포를 따르는 경우가 많은데, PER과 PBR은 첨도가 매우 높으며 해당 재무비율의 극단치들은 기업의 다양한 이해관계자들의 의사결정 시 중요한 역할을 한다. 본 논문에서는 통계학의 극단치이론에서 주로 활용되는 GPD와 최근 새롭게 제안된 분포인 exGPD를 도입하고, 두 분포 간의 성능을 비교하기 위해 시뮬레이션을 수행하여 적합도를 살펴본 후 우측 꼬리에 속하는 90, 95, 99% 퍼센타일 값을 추정하여 실제 값과 비교한다. 다음으로 국내 증권시장에 상장된 정보기술군(IT) 기업들의 PER, PBR 자료에 근거하여 실증분석을 수행한다. 분석 결과 특히 PBR에서 exGPD가 GPD에 비해 자료의 우측 꼬리 영역을 보다 효과적으로 설명함을 확인하였다. 따라서, 재무비율에 기반한 기업가치평가 또는 위험관리 시 극단치의 특성을 효과적으로 반영할 수 있는 exGPD와 같은 분포를 활용한다면 꼬리 영역에 담긴 정보를 보다 정확하게 파악할 수 있다. 이는 기업 내부 위험관리자의 효과적인 지식경영을 돕고, 투자자를 비롯하여 다양한 외부 이해관계자들에게 유용한 지식을 제공할 수 있다.

• 디지털융복합연구
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• 제14권8호
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• pp.105-113
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• 2016

본 연구는 중국의 국제회계기준의 채택시점을 중심으로 이전과 이후에 나타나는 보수적 회계처리의 차이점을 확인하기 위해 CSMAR(China Stock Market & Accounting Research)DB를 토대로 2002년부터 2014년까지의 패널 자료를 통해 유의적 차이점을 분석 검증하였다. 기업의 재무적 변화는 일반적으로 회계준칙의 변화 시점에서 차이가 나타날 수 있으며, 이러한 차이는 보수적 회계처리에 영향을 미칠 줄 수 있기 때문에 보수주의를 이해하는 것은 금융거래에 있어서 매우 유의미한 과정으로 볼 수 있다. 본 연구에서는 주당순이익 및 가격, 주식수익률, 부채비율을 통해 보수성을 측정하였다. 분석결과 보수적 회계처리는 기업회계기준의 도입 이후에 보다 높게 나타났으며, 부채비율이 높을수록 보수적 회계처리 비율이 높은 것으로 분석 되었다. 따라서 특정한 회계기준의 변화 시점에서 기업은 미래금융환경에 대한 불확실성이 증가되거나 신뢰성을 증가시키기 위해 보수적 회계처리를 유인하는 것으로 분석 될 수 있었다. 그러므로 본 연구에서는 회계기준과 준칙 등의 변화에 의한 실무적인 영향뿐만 아니라 향후 유사 연구에 유용한 지침을 제공 할 수 있을 것으로 기대 된다.