scholarly journals Crisis Poison Pills

2020 ◽  
Author(s):  
Ofer Eldar ◽  
Michael D Wittry
Keyword(s):  
Positive Reaction ◽  
Stock Prices ◽  
Stock Price ◽  
High Exposure ◽  
Price Increases ◽  
Poison Pill ◽  
Poison Pills ◽  
Number Of Firms

Abstract We show that a large number of firms adopt poison pills during periods of market turmoil. Specifically, during the coronavirus pandemic, many firms adopted poison pills following declines in valuations, and stock prices increased upon the announcement of firms’ poison pill adoption. Stock price increases are driven by (1) firms in which activist shareholders acquire ownership stakes and (2) firms in industries that had high exposure to the crisis. Likewise, we find a positive reaction to pills with provisions directed at stalling activists’ interventions. Our results suggest that crisis pills that target potentially disruptive ownership changes may benefit current shareholders.

The influence of title sponsorships in sports events on stock price returns

2015 ◽  
Vol 16 (2) ◽  
pp. 37-56 ◽  
Author(s):  
Masaki Kudo ◽  
Yong Jae Ko ◽  
Matthew Walker ◽  
Daniel P Connaughton
Keyword(s):  
Stock Returns ◽  
Event Study ◽  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Study Analysis ◽  
Sports Events ◽  
Price Increases ◽  
Event Date ◽  
The Impact

The purpose of this study was to examine stock price abnormal returns following title sponsorship announcement and event date of NASCAR, the PGA Tour, and the LPGA Tour. For this purpose, the authors used event study analysis where the analysis measures the impact that a specific event has on stock prices by comparing actual stock returns to estimated returns (Spais & Filis, 2008). An event study analysis demonstrated that title sponsors for the LPGA Tour and NASCAR garnered significant stock price increases on both the announcement date and the event date. The moderator tests suggested that high image congruence and high-technology related sponsorships assumed a key role in stock price increases.

scholarly journals Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Ikhlaas Gurrib ◽  
Mohammad Nourani ◽  
Rajesh Kumar Bhaskaran
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Oil Prices ◽  
Technical Analysis ◽  
Price Increases ◽  
Current Break ◽  
Study Methodology ◽  
Energy Companies ◽  
Better Than

AbstractThis paper investigates the role of Fibonacci retracements levels, a popular technical analysis indicator, in predicting stock prices of leading U.S. energy companies and energy cryptocurrencies. The study methodology focuses on applying Fibonacci retracements as a system compared with the buy-and-hold strategy. Daily crypto and stock prices were obtained from the Standard & Poor's composite 1500 energy index and CoinMarketCap between November 2017 and January 2020. This study also examined if the combined Fibonacci retracements and the price crossover strategy result in a higher return per unit of risk. Our findings revealed that Fibonacci retracement captures energy stock price changes better than cryptos. Furthermore, most price violations were frequent during price falls compared to price increases, supporting that the Fibonacci instrument does not capture price movements during up and downtrends, respectively. Also, fewer consecutive retracement breaks were observed when the price violations were examined 3 days before the current break. Furthermore, the Fibonacci-based strategy resulted in higher returns relative to the naïve buy-and-hold model. Finally, complementing Fibonacci with the price cross strategy did not improve the results and led to fewer or no trades for some constituents. This study’s overall findings elucidate that, despite significant drops in oil prices, speculators (traders) can implement profitable strategies when using technical analysis indicators, like the Fibonacci retracement tool, with or without price crossover rules.

scholarly journals Effects of Sale of Non-Performing Loans to Asset Management Companies on Stock Performance of Banks

2015 ◽  
Author(s):  
Sıtkı Sönmezer
Keyword(s):  
Asset Management ◽  
Stock Prices ◽  
Stock Price ◽  
Banking Sector ◽  
Critical Role ◽  
Stock Performance ◽  
Price Increases ◽  
Increase Productivity ◽  
Asset Quality

Asset management Companies, starting from 2006, have a critical role in the banking sector of Turkey in terms of liquidating Non-performing loans into cash. Sale of bad debts enable banks to transfer receivables to asset management firms at a substantial discount and obtain liquidity so that they have more robust financials and their ability to focus on their core businesses which may increase productivity. The objective of this study is to determine the immediate impact of the announcement of recent sales on stock prices of banks. This study provides evidence that 22 statistically significant positive announcements versus 21 negative announcements out of 69 deals broken down by bank. Results indicate that particular deals are overpriced resulting in stock price increases and some are underpriced resulting in losses in the market. It can be inferred that information regarding with the structure and asset quality of deals are accessible.

scholarly journals An Alternative Explanation for Stock Price Increases among the S&P 500 following a Stock Buyback Announcement

2017 ◽  
Vol 3 (2) ◽  
pp. 137-146
Author(s):  
Jose Emilio Munoz Jr
Keyword(s):  
Current Literature ◽  
Stock Prices ◽  
Stock Price ◽  
Signaling Theory ◽  
Price Increase ◽  
Share Price ◽  
Empirically Supported ◽  
Price Increases ◽  
Stock Buyback ◽  
One Year

Purpose: The purpose of this paper is to investigate an alternative, more basic explanation for stock price increases among the Standard & Poor's 500 Index following a stock buyback announcement than the signaling theory offered in current literature. Methodology: Three related sets of data were collected and analyzed for 1,858 individual S&P 500 stock buyback announcements occurring during the period 2005-2015: First, the actual stock prices for 6 different times from the buyback announcement date (t) to one year after (t+365); second, the S&P 500 Index for the same dates; and third, the mathematical price of the stock resulting from the reduction in buyback shares. Results: The results demonstrate that the greatest contributor to the post-buyback-announcement share price increase is due to the combination of general market moves (S&P 500 Index) and the mathematical reduction in shares occurring from the buyback.  No support is found for the signaling theory. Implication: This research presents a conceptually yet empirically supported framework to describe the significance of the mathematical reduction in shares as a contributing factor in the post-buyback-announcement share price increase as compared to alternatives offered in the current literature. This paper is particularly useful for those who study stock market behavior and the causes of the share price increase that follow a stock buyback announcement.

An Empirical Study on Efficient Market Hypothesis with reference to FMCG Sector

GIS Business ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 109-126
Author(s):  
Nitin Tanted ◽  
Prashant Mistry
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Returns ◽  
Weak Form ◽  
Efficient Market Hypothesis ◽  
Controversial Issues ◽  
Efficient Market ◽  
Price Movements ◽  
Run Test ◽  
Stock Price Movements

One of the highly controversial issues in the area of finance is “Efficient Market Hypothesis”. Efficient Market Hypothesis states that, “In an efficient market, all available price information is reflected in the stock prices and it is not possible to generate abnormal returns compared to other investors.” A lot of studies conducted previouslyto test the Efficient Market Hypothesis, confirmed the theory until recent years, when some academicians found it to be non-applicable in financial markets. According to them, it is possible to forecast the stock price movements using Technical Analysis. The results of various studies have been inconclusive and indefinite about the issue. This study attempted to test the efficiency of FMCG Sector stocks in India in its weak form. For the study, closing prices of top 10 stocks from Nifty FMCG index has been taken for the 5-year period ranging from 1st October 2014 to 30th September 2019. Wald-Wolfowitz Run test has been used to test the haphazard movements in the stock price movements. The results indicated that FMCG sector stocks does support the Efficient Market Hypothesis and exhibit efficiency in its weak form. Hence, it is not possible to accurately predict the price movements of these stocks.

Macroeconomic Factors and Pakistani Equity Market”

2004 ◽  
Vol 43 (4II) ◽  
pp. 619-637 ◽  
Author(s):  
Muhammad Nishat ◽  
Rozina Shaheen
Keyword(s):  
Stock Market ◽  
Industrial Production ◽  
Stock Prices ◽  
Stock Price ◽  
Consumer Price Index ◽  
Reverse Causality ◽  
Macroeconomic Factors ◽  
Macroeconomic Variables ◽  
Equilibrium Relationships

This paper analyzes long-term equilibrium relationships between a group of macroeconomic variables and the Karachi Stock Exchange Index. The macroeconomic variables are represented by the industrial production index, the consumer price index, M1, and the value of an investment earning the money market rate. We employ a vector error correction model to explore such relationships during 1973:1 to 2004:4. We found that these five variables are cointegrated and two long-term equilibrium relationships exist among these variables. Our results indicated a "causal" relationship between the stock market and the economy. Analysis of our results indicates that industrial production is the largest positive determinant of Pakistani stock prices, while inflation is the largest negative determinant of stock prices in Pakistan. We found that while macroeconomic variables Granger-caused stock price movements, the reverse causality was observed in case of industrial production and stock prices. Furthermore, we found that statistically significant lag lengths between fluctuations in the stock market and changes in the real economy are relatively short.

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

Znaczenie czynników behawioralnych w podejmowaniu decyzji inwestycyjnych na rynku kapitałowym

2016 ◽  
pp. 173-183
Author(s):  
Mirosław Wasilewski ◽  
Marta Juszczyk
Keyword(s):  
Capital Market ◽  
Stock Prices ◽  
Stock Price ◽  
Investment Decisions ◽  
Price Volatility ◽  
Decision Making Process ◽  
Emotional States ◽  
Psychological Conditions ◽  
History Of ◽  
Research Show

The aim of the study was to investigate the investors’ opinions concerning the usefulness of behavioral factors for investment decisions. The research was carried out in the group of 100 investors, using the services of five brokerages with a long history of operation. The results of the research show that people’s psychological conditions and sentiment in the stock market play an important role in the decision-making process of investors in the capital market. The importance of this factor increased with the length of the investment period. The emotional states of people and their psychological conditions affect the stock price volatility. However, the complexity of the determinants of stock prices makes the market value of stocks can be affected by many factors at the same time and investors seem aware of this.

Analysts' Information Acquisition and Stock Price Synchronicity: A Regulatory Perspective from China

2018 ◽  
Vol 33 (1) ◽  
pp. 153-179 ◽  
Author(s):  
Haiyan Jiang ◽  
Donghua Zhou ◽  
Joseph H. Zhang
Keyword(s):  
Insider Trading ◽  
Private Information ◽  
Stock Prices ◽  
Information Acquisition ◽  
Stock Price ◽  
Specific Information ◽  
Stock Price Synchronicity ◽  
Playing Field ◽  
Information Advantage ◽  
Private Information Acquisition

SYNOPSIS Against the backdrop of the Chinese Directive 40 (China's Reg FD) issued in 2007 as an attempt to curb insider trading and to level the information playing field, this study investigates whether analysts' private information acquisition influences the extent to which firm-specific information is impounded into stock prices, i.e., stock price synchronicity, and how the restrictions on selective disclosures imposed by Directive 40 have shaped the relationship between analyst information acquisition and synchronicity. Using a pre-Directive 40 sample, we show that synchronicity is negatively related to analysts' private information acquisition, which provides support for the “information advantage” argument of analysts' information production. However, the ability of analysts' private information acquisition in improving firm-specific information incorporated into stock price is mitigated post-Directive 40 due to a restriction on selective disclosures and/or private communication. Moreover, we find that this regulatory impact varies for firms being followed by affiliated analysts versus non-affiliated analysts. JEL Classifications: G14; G15; G17; G18.

scholarly journals Stock prices and economic activity nexus in OECD countries: new evidence from an asymmetric panel Granger causality test in the frequency domain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Veli Yilanci ◽  
Onder Ozgur ◽  
Muhammed Sehid Gorus
Keyword(s):  
Frequency Domain ◽  
Granger Causality ◽  
Stock Prices ◽  
Economic Activity ◽  
Stock Price ◽  
Predictive Power ◽  
Oecd Countries ◽  
Causality Test ◽  
Asymmetric Shocks ◽  
Panel Granger Causality

AbstractThis study investigates the stock price–economic activity nexus in 12 member countries of the Organization for Economic Cooperation and Development (OECD) by employing monthly data over the period 1981:1–2018:3. For this purpose, the study uses Granger causality in the frequency domain in the panel setting by decomposing the symmetric and asymmetric fluctuations. This methodology determines whether the predictive power of interested variables is concentrated on quickly, moderately, or slowly fluctuating components. Our findings show that the stock prices have predictive power for future long-term economic activity in the panel setting. However, economic activity has more reliable information for stock prices for negative components. Additionally, empirical findings for asymmetric shocks are not fully consistent with those of symmetric ones. Besides, the country-specific results provide different causal linkages across members and frequencies. These findings may provide valuable information for policymakers to design proper and effective policies in OECD countries regarding the stock market and economic activity nexus.

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