scholarly journals Pattern Of Short-Term Volatility Accentuation Within The Trading Day: An Investigation Of The U.S. And European Equity Markets

2011 ◽  
Vol 5 (2) ◽  
Author(s):  
Deniz Ozenbas
Keyword(s):  
New York ◽  
Stock Price ◽  
Price Discovery ◽  
Stock Exchange ◽  
Equity Markets ◽  
Price Volatility ◽  
Short Term ◽  
Major Index ◽  
Short Period ◽  
The Individual

Trading friction leads into accentuated stock price volatility over the short term. As such, short-term accentuated volatility can be viewed as symptomatic of a market with increased inefficiencies in the price discovery process. If price discovery is marked by price swings, runs and reversals, then short period (intra-day) volatility is heightened in that market. In this study, we use return series with various differencing intervals that are as short as half-hour and as long as two weeks to investigate the short-term volatility accentuation in five different equity markets: the Nasdaq Stock Market and the New York Stock Exchange in the US, and the London Stock Exchange, Deutsche Boerse and Euronext Paris in Europe. In all these markets, we investigate the individual stocks that make up a major index during the calendar year 2000. Variance-ratio statistics are employed to investigate the quality of these five markets. Results confirm an intra-day reverse J-shaped pattern of half-hour volatility in these markets. The evidence also suggests an accentuation of volatility during longer periods, such as 24-hour intervals. This accentuation appears to subside when we extend our differencing interval to longer periods such as one-week or two-week returns.

scholarly journals The Market Reaction Around Ex-Dates of Stock Splits Before and After Decimalization

2005 ◽  
Vol 08 (02) ◽  
pp. 201-216 ◽  
Author(s):  
Robin K. Chou ◽  
Wan-Chen Lee ◽  
Sheng-Syan Chen
Keyword(s):  
New York ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
New York Stock Exchange ◽  
Short Term ◽  
Tick Size ◽  
York Stock Exchange ◽  
Before And After ◽  
Abnormal Trading Volume

This paper examines the stock price behavior around the ex-split dates both before and after the decimalization on the New York Stock Exchange (NYSE). We find that the abnormal ex-split day returns decrease and the abnormal trading volume increases in the 1/16th and decimal pricing eras, relative to the 1/8th pricing era. These findings are consistent with the microstructure-based explanations for the ex-day price movements. Our study also supports the hypothesis that short-term traders perform arbitrage activities during the ex-split dates when transaction costs become lower after the tick size is reduced.

scholarly journals Day Of The Week Effects In Intra-Day Volatility Patterns Of Equity Markets: A Study Of US And European Stock Markets

2011 ◽  
Vol 5 (6) ◽  
Author(s):  
Deniz Ozenbas ◽  
Zaman Zamanian
Keyword(s):  
New York ◽  
Stock Markets ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
York Stock Exchange ◽  
Before And After ◽  
Trading Period ◽  
Day Of The Week ◽  
European Stock Markets

The pattern of intra-day stock price volatility is established in the academic literature as having a U-shape, with heightened volatility at the open and at the close compared to the other periods of the trading day. We establish in this study that there are variations in this pattern across different days of the week. More precisely, we see that the intra-day U-shaped pattern is more accentuated when we take into consideration the day of the week. Using intra-day data from the New York Stock Exchange, London Stock Exchange, Deutsche Boerse and Euronext Paris stock markets we show that Monday openings are consistently more volatile than opening periods of other days, and similarly Friday closings are consistently more volatile than closing periods of other days. These findings indicate the increased difficulty of price discovery just before and after the weekend non-trading period. Variance-ratio statistics are employed to test for the significance of our findings.

scholarly journals Margin requirements and Stock Market Volatility in Bangladesh

2012 ◽  
Vol 3 (2) ◽  
pp. 29
Author(s):  
A. F. M. Mainul Ahsan ◽  
Mohammad Osman Gani ◽  
Md. Bokhtiar Hasan
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Margin Requirements ◽  
Margin Requirement ◽  
Daily Stock Returns ◽  
The Impact

Officially margin requirements in bourses in Bangladesh were initiated on April 28, 1999, to limit the amount of credit available for the purpose of buying stocks. The goal of this paper is to measure the impact of changing margin requirement on stock returns' volatility in Dhaka Stock Exchange (DSE). The impact of margin requirement on stock price volatility has been extensively studied with mixed and ambiguous results. Using daily stock returns, we found mixed evidence that SEC's margin requirements have significant impact on market volatility in DSE.

scholarly journals ANALISIS HARGA SAHAM INDEX KOMPAS 100 DENGAN PENDEKATAN ERROR CORRECTION MODEL

2021 ◽  
Vol 4 (1) ◽  
pp. 406-414
Author(s):  
Amir Hamzah
Keyword(s):  
Error Correction ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Financial Statements ◽  
Error Correction Model ◽  
Short Term ◽  
Correction Model ◽  
Positive Effect

The purpose of this research is to analyze the short term and long term relationship between ROI, EPS, PER ,inflation, SBI, exchange rate,and GDP on Stock Price. The data in this research is company financial statements which included Compas 100 Index on the Indonesia Stock Exchange. statistical analysis in this research used stasionarity test, The Classical Assumptions Test, Cointegration Test, Error Correction Model Test. This research found that partially ROI, EPS, PER variables a positive effect on stock prices in the short term and long term, KURS and SBI a positive effect on stock prices in the short term, but there is no effect in the long term, inflation and GDP do not affect the stock price both in the short term and long term. Simultaneously affected the stock prices significantly affect on stock price both in the short term and long term.

Effect of Dividend Policy on Stock Price Volatility in Nigeria Stock Exchange

2019 ◽  
Vol 9 (2) ◽  
pp. 219
Author(s):  
Felix Ebun Araoye ◽  
Akinola Michael Aruwaji ◽  
Emmanuel OlusuyiAjayi
Keyword(s):  
Stock Price ◽  
Dividend Policy ◽  
Positive Impact ◽  
Stock Exchange ◽  
Panel Data Analysis ◽  
Price Volatility ◽  
Share Price ◽  
Dividend Payout ◽  
Share Prices ◽  
Duration Effect

This paper seeks to determine the effect of dividend policy and dividend payment on share price volatility in Nigeria. Several literatures have showed evidence that dividend policy vary inversely proportional with share price volatility with duration effect. The study used data from the actively trading companies listed in the Nigeria Securities Exchange for a period of ten (10) years from 2005–2014. The estimation is based on panel data analysis between dividend policy measures (dividend payout, dividend per share, earnings after tax, dividend declared and number of share) and Share price volatility. The findings from the random effects regression results showed dividend per share is the major determinants of share price volatility in NSE (β = 0.6870, ρ<0.05). Dividend payout ratio negatively affect share price volatility (β =0.612, ρ>0.05) and earnings after tax negatively affect share price volatility (β =0.038, ρ>0.05).Thus, the higher the payout ratio the less the share price volatility, and the higher the earnings after tax lower the share price volatility. In conclusion, dividend per share has positive effect and inclusive relationship with market share prices. It is recommended that firms should try and improve on their financial performance that will enable consistent increase in the dividend per share for positive impact on market value.

scholarly journals Forecasting Changes in Stock Prices on the Basis of Patterns Identified with the Use of Data Classification Methods

2014 ◽  
Vol 14 (1) ◽  
pp. 7-21
Author(s):  
Jacek Szanduła
Keyword(s):  
New York ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Data Classification ◽  
Classification Methods ◽  
Financial Instrument ◽  
Partitioning Around Medoids ◽  
Use Of Data ◽  
Short And Long Term

Abstract The paper develops the concept of harnessing data classification methods to recognize patterns in stock prices. The author defines a formation as a pattern vector describing the financial instrument. Elements of such a vector can be related to the stock price as well as sales volume and other characteristics of the financial instrument. The study uses data concerning selected companies listed on the stock exchange in New York. It takes into account a number of variables that describe the behavior of prices and volume, both in the short and long term. Partitioning around medoids method has been used for data classification (for pattern recognition). An evaluation of the possibility of using certain formations for practical purposes has also been presented.

scholarly journals LISTING OF SHARES OF SOME COMMERCIAL BANKS AND FINANCIAL SERVICES COMPANIES IN POLAND

2018 ◽  
pp. 43-51
Author(s):  
Sławomir Juszczyk
Keyword(s):  
Stock Prices ◽  
Financial Services ◽  
Commercial Banks ◽  
Stock Price ◽  
Stock Exchange ◽  
Price Volatility ◽  
Strongly Correlated ◽  
Stock Price Volatility ◽  
Warsaw Stock Exchange

The purpose of the research was to identify the volatilities of daily quotes of banks and financial services companies listed on Warsaw Stock Exchange in the six-year period ie 2011-2016. It was found that the volatility of the stock price of the eCard was the strongest correlated with BPH stock price volatility, while the volatility of KREDYTIN stock prices was strongly correlated with the volatility of BZ WBK shares, ING and PKO BP. The strongest correlation between the stock prices of banks and the surveyed financial services companies was on the day of their listing. Unlike banks, financial services companies are highly diversified.

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