Forecasting Closing Price of Stock Market Using LSTM Network: An Analysis from the Perspective of Dhaka Stock Exchange

2021 ◽  
pp. 289-299
Author(s):  
Md. Mohsin Kabir ◽  
Aklima Akter Lima ◽  
M. F. Mridha ◽  
Md. Abdul Hamid ◽  
Muhammad Mostafa Monowar
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Closing Price ◽  
Lstm Network

scholarly journals Recruiting Investors Sentiment in Forecasting Volatility (An Examination on American Stock Market)

2019 ◽  
Vol 8 (2) ◽  
pp. 5775-5780
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Investor Sentiment ◽  
The Other ◽  
The Past ◽  
Price Data ◽  
Dependent Variables ◽  
Closing Price ◽  
Independent Variable ◽  
Forecasting Volatility

The study is to examine the volatility fluctuations based on investor sentiment as various studies has been carried out in the past concentrating mostly on the current reaction of investors sentiment depending on historical volatility estimations. Closing data of NYSE index is considered as independent variable in analyzing both the historical volatility and sentiment index as they are valuated from them. Observation of 807 trading days from the period of 2015-2018 from American Stock Exchange is considered for the study. The study also helps to determine the use of dependent (ARMS Index and Historical Volatility) and independent variable (NYSE Closing price data) among themselves and the reliability of the independent variable. The viability of the dependent variable in deriving the values of the independent variable is analyzed and it as found out that both the dependent variables can act as independent variable in examining the other dependent variable.

META-ANALYSIS ON AMERICAN PRESIDENTIAL ELECTION - 2016 AND AMERICAN STOCK MARKET

2020 ◽  
Vol 38 (1) ◽  
Author(s):  
Farhan Ahmed ◽  
Salman Bahoo ◽  
Sohail Aslam ◽  
Muhammad Asif Qureshi
Keyword(s):  
Content Analysis ◽  
Stock Market ◽  
Event Study ◽  
Presidential Election ◽  
Republican Party ◽  
Stock Exchange ◽  
Meta Analysis ◽  
Composite Index ◽  
Stock Index ◽  
Political Event

This paper aims to analyze the efficient stock market hypothesis as responsive to American Presidential Election, 2016. The meta-analysis has been done combining content analysis and event study methodology. The all major newspapers, news channels, public polls, literature and five important indices as Dow Jones Industrial Average (DJIA), NASDAQ Stock Market Composit Indexe (NASDAQ-COMP), Standard & Poor's 500 Index (SPX-500), New York Stock Exchange Composite Index (NYSE-COMP) and Other U.S Indexes-Russell 2000 (RUT-2000) are critically examined and empirically analyzed. The findings from content analysis reflect that stunned winning of Mr Trump from Republican Party worked as shock for American stock market. From event study, findings confirmed that all the major indices reflected a decline on winning of Trump and losing of Ms. Clinton from Democratic. The results are supported empirically and practically through the political event like BREXIT that resulted in shock to Global stock index and loss of $2 Trillion.

Momentum Effect in Stock Market: Empirical Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Shahid Rasheed ◽  
Umar Saood ◽  
Waqar Alam
Keyword(s):  
Stock Market ◽  
Empirical Evidence ◽  
Stock Markets ◽  
Stock Exchange ◽  
Momentum Effect ◽  
Using Data

This study aims to examine the momentum effect presence in selected stocks of Pakistan stock market using data from Jan 2007 to Dec 2016. This study constructed the strategies includes docile, equal weighted and full rebalancing techniques. Data was extracted from the PSX – 100 index ranging from 2007 to 2016. STATA coding ASM software was used for calculating momentum portfolios, finally top 25 stocks were considered as a winner stocks and bottom 25 stocks were taken as a loser stocks. In conclusion, the results of the study found a strong momentum effect in Pakistan stock exchange PSX 100- index. As by results it has been observed that a substantial profit can earn by the investors or brokers in constructing a portfolio with a short formation period of three months and hold for 3, 6 and 12 months. There is hardly a study is present on the same topic on Pakistan Stock Exchange as preceding studies were only conducted on individual stock markets before merger of stock markets in Pakistan while this study leads the explanation of momentum phenomenon in new dimension i.e. Pakistan Stock Exchange. Keywords: Momentum, Portfolio, Winner Stocks, Loser Stocks

Stock Market Calendar Anomalies: Evidence from Tehran Stock Exchange (TSE)

2013 ◽  
Author(s):  
Mohsen Khotanlou ◽  
Mahdi Mahdavikhou ◽  
Pezhman Etemadfuroghi
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Calendar Anomalies

Risk-Managed Momentum: An Evidence from Indian Stock Market

2021 ◽  
pp. 231971452110230
Author(s):  
Simarjeet Singh ◽  
Nidhi Walia ◽  
Pradiptarathi Panda ◽  
Sanjay Gupta
Keyword(s):  
Stock Market ◽  
Asset Management ◽  
Stock Exchange ◽  
Sharpe Ratio ◽  
Relative Momentum ◽  
Extended Time ◽  
Momentum Strategies ◽  
Momentum Profits ◽  
Indian Stock Market ◽  
Time Frames

Relative momentum strategies yield large and substantial profits in the Indian Stock Market. Nevertheless, relative momentum profits are negatively skewed and prone to occasional severe losses. By taking into consideration 450 stocks listed on the Bombay Stock Exchange, the present study predicts the timing of these huge momentum losses and proposes a simple risk-managed momentum approach to avoid these losses. The proposed risk-managed momentum approach not only doubles the adjusted Sharpe ratio but also results in significant improvements in downside risks. In contrast to relative momentum payoffs, risk-managed momentum payoffs remain substantial even in extended time frames. The study’s findings are particularly relevant for asset management companies, fund houses and financial academicians working in the area of asset anomalies.

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