scholarly journals influence of rumors and its consequences in dynamics of stock market prices

2013 ◽  
Vol 7 ◽  
Author(s):  
Fábio Marques da Cruz ◽  
Maria Yêda Falcão Soares de Filgueiras Gomes
Keyword(s):  
Stock Market ◽  
Information Asymmetry ◽  
Stock Prices ◽  
Trading Volume ◽  
Stock Exchange ◽  
Spot Market ◽  
Perfect Competition ◽  
Market Prices ◽  
The Press

This work is part of an ongoing study that aims to analyze the influence of rumors on the price dynamics in the stock market, through a case study of companies whose shares are traded much among financial agents. For this purpose we used historical prices of securities traded in the spot market of Sao Paulo Stock Exchange in the years 2007 to 2011, from files available in its website. A sample of 10 companies was selected among the stocks with higher trading volume during this period to collect the documents presented for communication of relevant facts and clarifications in stock exchange’s site. Only communications presented on the period specified that provide clarification related to news and unverified information disclosed in the press were brought within the scope of data collection. Until now, only the company communications with the most actively traded stocks were collected, whose analysis allowed the categorization of information and creation of a diagram for representing information about the rumors treated on these documents. This diagram was applied to a database where the information collected was stored for later retrieval and analysis. From this information, asset prices were retrieved to analyze the influence of rumors reported by the press in the price fluctuation of the asset. The authors Kapferer, Müller and Martins form the theoretical framework. As a result, the research has identified some rumors that interfered in the stock prices, as well as classified the rumors about the issues they address. So, as many times the rumor rises from the void of knowledge and information asymmetry, it is noted that there is no perfect competition among financial agents.

scholarly journals The influence of rumors in the stock market: a case study with Petrobras

2013 ◽  
Vol 25 (3) ◽  
pp. 187-193 ◽  
Author(s):  
Fábio Marques da Cruz ◽  
Maria Yêda Falcão Soares de Filgueiras Gomes
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Stock Exchange ◽  
Price Fluctuations ◽  
Knowing That ◽  
Cash Market ◽  
The Press ◽  
The Media ◽  
A Company

This paper analyzes the influence of rumors on price fluctuations in the Stock Exchange of São Paulo between 2007 and 2011, through a case study with Petrobras, a company whose stock had the largest trading volume within the period. For this purpose we used the historical prices of cash market provided by the stock exchange. The communications in which Petrobras provides clarifications regarding unofficial information disclosed in the press were also collected from the stock exchange website. The analysis of these documents helped to create a diagram to represent the information about the rumors and categorize them by subject. This diagram was applied to a database to store the information collected from the company’s communications. Then this information was retrieved to analyze the influence of rumors on price movements. The results confirm that the company’s responses to rumors influence price fluctuations of its stock. At eagerness for information to dilute uncertainty, investors make decisions based on rumors betting on the credibility of the media that disclose them, even though knowing that the information is not always reliable.

scholarly journals THE XBRL TECHNOLOGY AND MARKET EFFICIENCY IN BANKING COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE (IDX)

2020 ◽  
Vol 4 (1) ◽  
pp. 26
Author(s):  
Erni Jayani ◽  
Jumiadi Abdi Winata ◽  
Khairunnisa Harahap
Keyword(s):  
Information Asymmetry ◽  
Market Efficiency ◽  
Financial Reporting ◽  
Stock Prices ◽  
Trading Volume ◽  
Sampling Method ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Accurate Information ◽  
Stock Trading

The problem in this research is the need for fast and accurate information in the format of the presentation of financial statements resulting in the distribution of information, and data management can be problematic. Therefore, a format for financial reporting systems, namely Extensible Business Reporting Language (XBRL), was formed. The purpose of this study was to determine the effect of XBRL technology, stock prices, Return on Assets (ROA), and institutional ownership on market efficiency (information asymmetry and stock trading volume). The population and sample of this study are banking companies listed on the Indonesia Stock Exchange from 2015-2016. The sampling method using a purposive sampling method and obtained a sample of 42 companies. Data collection techniques are carried out by taking data from the Indonesia Stock Exchange website (www.idx.co.id) and the site http://finance.yahoo.com. Data were analyzed with multiple regression tests after being declared normal with the normality test and though using SPSS 20. The results of this study simultaneously stated that XBRL technology, stock prices, ROA, and institutional ownership together have an influence on information asymmetry and stock trading volume. From the results of the study, it can be concluded that XBRL technology, stock prices, ROA, and institutional ownership cause a decrease in the level of information asymmetry and trading volume. This result also states that the company is in excellent condition when the value of information asymmetry decreases, but it is not good when the trading volume of its shares also decreases. Keywords: XBRL Technology; Stock Prices; Market Efficiency; Information Asymmetry; Stock Trading Volume. 

scholarly journals Differences In Intrinsic Value With Stock Market Prices Using The Price Earning Ratio (Per) Approach As An Investment Decision Making Indicator (Case Study Of Manufacturing Companies In Indonesia Period 2016 - 2017)

2019 ◽  
Vol 1 (1) ◽  
pp. 82-92
Author(s):  
Ardy Indra Lekso Wibowo Putra ◽  
Aditya Dwiansyah Putra ◽  
Murni Sari Dewi ◽  
Denny Oktavina Radianto
Keyword(s):  
Decision Making ◽  
Stock Market ◽  
Stock Price ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Investment Decision ◽  
Manufacturing Companies ◽  
Market Prices ◽  
Investment Decision Making

An investor must be able to consider all kinds of steps that will be taken or that will be carried out, assessing stocks - shares that will provide optimal benefits in making an investment decision. By analyzing the intrinsic value of the price of a company's stock, investors can assess the fairness of the stock price. The method used to analize intrinsic value is fundamental analysis using the Price Earning Ratio (PER) approach. The samples to be taken in this research are manufacturing companies in Indonesia which are listed on the Indonesia Stock Exchange (IDX) for the period 2016 - 2017 with certain criteria. The results of this research will show that the shares of companies listed are in overvalued, undervalued or correctly valued conditions. So investors can decide to buy, hold or sell their shares.

scholarly journals Stock Market Prices Prediction using Random Forest and Extra Tree Regression

2019 ◽  
Vol 8 (3) ◽  
pp. 1224-1228
Keyword(s):  
Machine Learning ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Research Area ◽  
Support Vector ◽  
Market Prices ◽  
Machine Learning Approach ◽  
Innovative Work

Prediction of Stock price is now a day’s an existing and interesting research area in financial and academic sectors to know the scale of economies. There did not exists any significant set of rules to estimate and predict the scale of share in the stock exchange. Many evolutionary technologies are existing such as technical, fundamental, time, statistical and series analysis which help us to attempt the prediction process, but none of the methods are proved as reliable and accurate tool to the society in the estimation of stock exchange or share market scales. Here in this paper we attempted to do innovative work through Machine Learning approach to predict or sense the behaviour tracking of the stock market sensex. Linear regression, Support Vector regression, Decision Tree, Ramdom Forest Regressor and Extra Tree Regressor are the Machine Learning models implemented effectively in predicting the stock prices and define the activity between the exchanges the securities between the buyers and sellers. We predicted the price of the stock based on the closing value and stock price. An algorithm with high accuracy we do the process of comparison for the accuracy of each of the model and finally is considered as better algorithm for predicting stock price. As share market is a vague domain we cannot predict the conditions occur, and also share market can never be predicted, this job can be done easily and technically through this work and the main aim of this paper is to apply algorithms in Machine Learning in predicting the stock prices.

scholarly journals How Does Stock Prices Respond to Various Macroeconomic Factors? A Case Study of Pakistan

2014 ◽  
Vol 1 (4) ◽  
pp. 25-30
Author(s):  
Ayaz Khan
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Correction Term ◽  
Macroeconomic Factors ◽  
Market Prices ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run

Over the time everything flourished, at the same token the interrelationship among the stock market prices, returns and macroeconomic factors got attendance of the researchers in the field of finance and economics around the world. In this respect current study is an attempt to investigate the response of various macroeconomic factors (GDP, Money Supply, inflation, exchange rate and Size of firm) toward stock market prices in case of Karachi stock exchange over a period of 1971 to 2012. The study utilizes Autoregressive Distributed lag model (ARDL) technique. The results shows that in long run each factor significantly contribute to the stock price while in shot run some factors were significant while some were not but the error correction term shows significant convergence toward equilibrium. The findings of study suggest that for smoothness of stock market the current factors must be targeted.

The changing relation between CEOs and shareholders

2017 ◽  
Vol 23 (4) ◽  
pp. 375-400 ◽  
Author(s):  
Abe de Jong ◽  
Marieke van der Poel ◽  
Michiel Wolfswinkel
Keyword(s):  
Twentieth Century ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Transition Period ◽  
Chief Executive ◽  
Investor Relations ◽  
Market Prices ◽  
Content Type

Purpose This paper aims to present case study evidence on the changes in the relations between chief executive officers (CEOs) of large firms and shareholders in the past three decades of the twentieth century. In line with insights from agency theory, the CEOs have experienced increased scrutiny from their principals, the shareholders. This development has affected financial communication and investor relations as well as stock market prices. Design/methodology/approach The Dutch electronics firm Royal Philips NV in the transition period of 1971-2001 has been studied using publicly available disclosures and stock market prices. A descriptive case study approach is combined with event study methodology. Findings It was observed that the increased emphasis on shareholder interests has affected the interactions between Philips’ respective CEOs and the shareholders’ reactions to strategic decisions as measured by stock price changes. Around the beginning of the twenty-first century, clarity and openness in CEO communication was the norm and deviations were punished with volatile stock prices. Research limitations/implications The study relies on publicly available data. Originality/value The case study of Philips can be extrapolated to other exchange-listed firms in the late twentieth century, which faced changed expectations about the role of the CEO, investor relations and the CEO’s accountability toward shareholders. This transition is relevant not only as a historical observation, but also as a background to studies in finance and management about top management and financial markets.

scholarly journals The Relationship of Stock Prices and Stock Market Performance Ratios in Companies Trading on Borsa Istanbul: An Application in Companies with the Highest Trading Volume

2021 ◽  
Author(s):  
Bilgehan Tekin ◽  
Seda Nur Bastak
Keyword(s):  
Regression Analysis ◽  
Stock Market ◽  
Stock Prices ◽  
Trading Volume ◽  
Market Price ◽  
Share Price ◽  
Panel Regression ◽  
Market Prices ◽  
Positive Direction ◽  
Stock Market Performance

In this study, the effect of certain ratios that investors pay attention to on stock prices in Borsa Istanbul is examined. For this purpose, 30 of the stocks with which the investors traded the most were taken as a sample. In the study, 30 companies with the highest average trading volume in the analysis period were selected according to their transactions in Borsa Istanbul. The study covers the period between 2010: 1Q-2019: 4Q. Variables included in the study are stock market price, P/E ratio, trading volume, market to book ratio, beta, free float percentage. In this study, it has been tried to understand at what level the stock market prices of companies' publicly traded stocks are affected by the indicators that emerge as a result of the transactions realized in the stock exchange, rather than the ratios discussed within the scope of financial analysis and ratio analysis, examples of which are very common in the literature. Panel regression analysis was performed in the study. Before proceeding to the panel regression analysis, preliminary tests were carried out and the model was tried to be given its most suitable form. For this purpose, multicollinearity tests, cross section dependency test, second generation unit root tests, varying variance test, panel regression model selection were made. The model created in the last stage was estimated. As a result of the study, it was seen that the Price/Earnings, Transaction Volume, Market Value/Book Value and Beta variables were significantly effective on the stock market prices of the companies' stocks. Among these variables, BETA affects negatively, while other variables affect positively. The variable with the highest effect on the share price is the negative BETA coefficient and the positive direction is the trading volume.

scholarly journals When Politics is Quoted on the Stock Market. Case Study – Romania

2017 ◽  
Vol 22 (2) ◽  
pp. 124-133
Author(s):  
Diana Elena Vasiu
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Exchange ◽  
Point Of View ◽  
Multiple Objective ◽  
Political Events ◽  
The Press

Abstract The stock markets are considered to be the most sensitive markets, the variation of the titles course being generated by multiple objective and subjective factors. When social or political events take place, the stock market is rising or falling, and the press takes over and disseminates this information. Starting from this context, we analyze the measure in which the Bucharest Stock Exchange (BSE) reacted at times agitated from a social and political point of view, in the last period.

scholarly journals Testing for Market Efficiency in Emerging Markets: A Case Study of the Karachi Stock Market

2007 ◽  
Vol 12 (1) ◽  
pp. 119-140 ◽  
Author(s):  
Khalid Mustafav ◽  
Mohammedv Nishat
Keyword(s):  
Stock Market ◽  
Emerging Markets ◽  
Market Efficiency ◽  
Stock Prices ◽  
Stock Exchange ◽  
Monthly Data ◽  
Linear Behavior ◽  
Non Linear ◽  
Efficiency Test

This paper investigates the efficiency of the Karachi stock exchange (KSE) with corrections for thin trading and non-linearity as suggested by Miller, Muthuswamy and Whaley (1994). Daily, weekly, and monthly data on stock prices from December 1991 to May 2003 have been used, with three non-overlapping periods (December 1991 to May 1998; May 1998 to September 2001; and September 2001 to May 2003) and one combined period (May 1998 to May 2003). The results indicate that the Karachi Stock Market is efficient for the overall period, the three sub-periods, and the combined period in linear and non-linear behavior after making adjustments for thin trading. The same result is observed when the efficiency test is conducted on weekly and monthly data after adjusting for thin trading during the overall study period.

scholarly journals Modeling the Equilibrium Price of the Companies Listed in the Prague Stock Exchange

2020 ◽  
Vol 68 (4) ◽  
pp. 731-739
Author(s):  
Florin Aliu ◽  
Adriana Knápková ◽  
Hoang Khang Tran ◽  
Bashkim Nurboja
Keyword(s):  
Monte Carlo Simulation ◽  
Information Asymmetry ◽  
Stock Prices ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Equilibrium Price ◽  
Average Deviation ◽  
Market Prices ◽  
Financial Situation ◽  
Market Participants

Valuation provides proper evidence on the financial situation of the firms. Incorrect valuation delivers wrong signals for the market participants and stands on the concepts of markets with information asymmetry. The study measures the estimated intrinsic value of the selected companies listed in the Prague Stock Exchange. Moreover, the results of the work observe influencing factors that deviate stock prices of the companies listed in the Prague Stock Exchange (PSE) from their estimated intrinsic value. Valuation techniques and Monte Carlo Simulation were employed to detain the estimated intrinsic of the selected companies from the Prague Stock Exchange. The estimated results indicate that Czech listed companies deviate from the intrinsic value in the range of 58% while international companies in the range of 301%. However, the average deviation within market prices and intrinsic value of the companies listed in the PSE was 179%.

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