IMPACT OF PREDATORY TRADING STRATEGIES OF R-JIO ON THE SHARE PRICE BEHAVIOUR OF VYING TELECOM SECTORS

2017 ◽  
Vol 4 (05) ◽  
Keyword(s):  
Trading Strategies ◽  
Share Price ◽  
Predatory Trading

Price manipulation at the NYSE and the 1899 battle for Brooklyn Rapid Transit shares

2013 ◽  
Vol 20 (3) ◽  
pp. 279-303
Author(s):  
Timothy A. Kruse ◽  
Steven K. Todd
Keyword(s):  
Trading Strategies ◽  
Share Price ◽  
Market Dynamics ◽  
Rapid Transit ◽  
Share Prices ◽  
Railway Company ◽  
Price Manipulation ◽  
The Press ◽  
Predatory Trading ◽  
Shed Light

In 1899, James Keene, a prominent bear, and Roswell Flower, a well-known bull, both attempted to manipulate the share price of Brooklyn Rapid Transit (BRT), a young commuter railway company. Flower and Keene were stock ‘operators’, who used pools of cash from like-minded investors to push share prices higher or lower. In their efforts to garner profits, BRT operators claimed insider status, planted rumors in the press, used leverage to accumulate large positions, manipulated borrowing costs and camouflaged trades. The events of 1899 can shed light on current market dynamics, and we draw parallels between the predatory trading strategies used in 1899 and those of today.

High-Frequency Financial Econometrics

2014 ◽  
Author(s):  
Yacine Aït-Sahalia ◽  
Jean Jacod
Keyword(s):  
High Frequency ◽  
Practical Importance ◽  
Financial Econometrics ◽  
Trading Strategies ◽  
Financial Data ◽  
Jump Processes ◽  
High Frequency Trading ◽  
Microstructure Noise ◽  
Econometric Methods ◽  
Mathematical Foundations

High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. The book covers the mathematical foundations of stochastic processes, describes the primary characteristics of high-frequency financial data, and presents the asymptotic concepts that their analysis relies on. It also deals with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As the book demonstrates, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. The book approaches high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.

The economic consequences of voluntary environmental reporting on shareholder wealth

2006 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Ruslaina Yusoff ◽  
Shariful Amran Abd Rahman ◽  
Wan Nazihah Wan Mohamed
Keyword(s):  
Abnormal Return ◽  
Listed Companies ◽  
Shareholder Wealth ◽  
Environmental Information ◽  
Economic Consequences ◽  
Share Price ◽  
Cumulative Abnormal Return ◽  
Environmental Reporting ◽  
Financial Report ◽  
Significant Difference

This study was carried out to examine the economic consequences ofvoluntary environmental reporting on shareholders' wealth among Malaysian Listed Companies that voluntarily disclosed environmental information in their financial report. One hundred andfifty two (152) companies of Bursa Malaysia (MSE) had been identified as a sample in the current study. Seventy six (76) companies were classified as environmental reporting companies while the remaining companies were classified as non-environmental reporting companies. The classification was done in order to determine the differences between share price, profitability and market equity for both types of companies. The study hypothesizes that voluntary environmental reporting leads to an improvement in the shareholders wealth. However, the results show that there is no significant difference between cumulative abnormal return for environmental and non-environmental reporting companies. Based on the results obtained, it can also be concluded that profitability and size of the companies do not have any significant roles in deciding whether or not to produce environmental reporting companies.

Confidence and Investors' Reliance on Disciplined Trading Strategies

CFA Digest ◽  
2003 ◽  
Vol 33 (4) ◽  
pp. 71-71
Author(s):  
William H. Sackley
Keyword(s):  
Trading Strategies

Relationship between Foreign Portfolio Investments (FPI), Domestic Institutional Investors, and Stock Market Returns in India

GIS Business ◽  
2017 ◽  
Vol 12 (6) ◽  
pp. 1-9
Author(s):  
Dhananjaya Kadanda ◽  
Krishna Raj
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Negative Relationship ◽  
Trading Strategies ◽  
Market Returns ◽  
Stock Market Returns ◽  
Foreign Portfolio Investment ◽  
Stock Market Return ◽  
Indian Stock Market ◽  
Feedback Trading

The present article attempts to understand the relationship between foreign portfolio investment (FPI), domestic institutional investors (DIIs), and stock market returns in India using high frequency data. The study analyses the trading strategies of FPIs, DIIs and its impact on the stock market return. We found that the trading strategies of FIIs and DIIs differ in Indian stock market. While FIIs follow positive feedback trading strategy, DIIs pursue the strategy of negative feedback trading which was more pronounced during the crisis. Further, there is negative relationship between FPI flows and DII flows. The results indicate the importance of developing strong domestic institutional investors to counteract the destabilising nature FIIs, particularly during turbulent times.

Effect Of Leverage, Inflation And GDP To Share Price Pt. Astra Otoparts Tbk.

ProBank ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 17-21
Author(s):  
Heriyanta Budi Utama ◽  
Florianus Dimas Gunurdya Putra Wardana
Keyword(s):  
Gross Domestic Product ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Sampling Technique ◽  
Share Price ◽  
Domestic Product ◽  
Coefficient Of Determination ◽  
Test Results ◽  
Purposive Sampling

The purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015. The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression. The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share priceThe purpose of this study was to obtain empirical evidence about the effect of leverage, inflation and Gross Domestic Product (GDP) of the share price at PT. Astra Autopart, Tbk. companies in Indonesia Stock Exchange in 2011-2015.The sampling technique in this study using a purposive sampling. With the technique of purposive  sampling, all the members of the research samples by criteria. Samples that meet the criteria are used research data. Then followed the classic assumption test and test hypotheses by linear regression.The results of this study demonstrate the regression results in regression equation that Y = 2605,424 + 1561,550 X1 + 2,338 X2 + 38,994X3. T test results showed that the leverage anda GDP (Gross Domestic Product) is positive and significant effect on stock prices, while inflation is not positive and significant effect on stock prices. F test results showed that jointly leverage variables, inflation and GDP variables affecting the stock price significantly. The test results R2 (coefficient of determination) found that the variable leverage, inflation and GDP able to explain 35,4% of the stock price variable, while the remaining 64,6% is explained by other variables.Keywords: leverage, inflation, GDP, and the share price

PENGARUH RASIO KEUANGAN TERHADAP HARGA SAHAM PERUSAHAAN LQ45 PERIODE 2013-2017

2019 ◽  
Vol 5 (1) ◽  
pp. 1-17
Author(s):  
Nuri Maulana Ikhsan ◽  
Yohanes Rully Dermawan
Keyword(s):  
Stock Prices ◽  
Share Price ◽  
Financial Ratios ◽  
Total Asset ◽  
Current Ratio ◽  
Return On Equity ◽  
Book Value ◽  
Earnings Per Share ◽  
Asset Turnover ◽  
Equity Ratio

This study aims to determine the effect of financial ratios on stock prices. Financial ratios used in this study is the Current Ratio, Debt to Equity Ratio, Return On Equity, Total Asset Turnover, Earning Per Share, and Price to Book Value. The type of research used is quantitative to observe the effect of financial ratios on stock prices. This study used a purposive sampling method with a total sample of 20 companies registered in the LQ45 index for the period 2013-2017 and fulfilling the research criteria. The statistical method used is multiple linear regression analysis The results of this study indicate that partially, the variable debt to equity ratio, return on equity, total asset turnover, earnings per share, and price to book value have a significant partial effect on stock prices, while the current ratio variable does not have a partial significant effect on stock prices. Simultaneously the current ratio variable, debt to equity ratio, return on equity, total asset turnover, earnings per share, and price to book value have a significant simultaneous effect on stock prices. And the most dominant influential variable is earnings per share. Keywords:  Current Ratio, Debt to Equity Ratio, Return On Equity, Total Asset Turnover, Earning Per Share, Price to Book Value, and Stock Price.  

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