scholarly journals Learning to Predict the Stock Market Dow Jones Index Detecting and Mining Relevant Tweets

2017 ◽  
Author(s):  
Giacomo Domeniconi ◽  
Gianluca Moro ◽  
Andrea Pagliarani ◽  
Roberto Pasolini
Keyword(s):  
Stock Market ◽  
Jones Index

scholarly journals THE ISLAMIC CAPITAL MARKET VOLATILITY: A COMPARATIVE STUDY BETWEEN IN INDONESIA AND MALAYSIA

2013 ◽  
Vol 15 (4) ◽  
pp. 391-415
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Capital Market ◽  
Oil Price ◽  
Crude Oil Price ◽  
Short Term ◽  
Macroeconomic Variables ◽  
Jones Index

This study attempts to examine the short-term and long-term relationship among selected global anddomestic macroeconomic variables fromeach country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selectedmacroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44

COVID-19 Sentiments and Impact on Stock Market Prices

2021 ◽  
Vol 2 (2) ◽  
pp. 40-58
Author(s):  
Chandra Prayaga ◽  
Krishna Devulapalli ◽  
Lakshmi Prayaga ◽  
Aaron Wade
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Prices ◽  
Multivariate Time Series ◽  
Market Prices ◽  
Vector Error Correction ◽  
Jones Index ◽  
Vector Error ◽  
The Impact ◽  
Stock Values

This paper studies the impact of sentiments expressed by tweets from Twitter on the stock market associated with COVID-19 during the critical period from December 1, 2019 to May 31, 2020. The stock prices of 30 companies on the Dow Jones Index were collected for this period. Twitter tweets were also collected, using the search phrases “COVID-19” and “Corona Virus” for the same period, and their sentiment scores were calculated. The three time series, open and close stock values, and the corresponding sentiment scores from tweets were sorted by date and combined. Multivariate time series models based on vector error correction (VEC) models were applied to this data. Forecasts for these 30 companies were made for the time series open, for the 30 days of June 2020, following the data collection period. Stock market data for the month of June was for all the companies was compared with the forecast from the model. These were found to be in excellent agreement, implying that sentiment had a significant impact or was significantly impacted by the stock market prices.

scholarly journals THE ISLAMIC CAPITAL MARKET VOLATILITY: A COMPARATIVE STUDY BETWEEN IN INDONESIA AND MALAYSIA

2013 ◽  
Vol 15 (4) ◽  
pp. 377-400
Author(s):  
Muhammad Syafii Antonio ◽  
Hafidhoh Hafidhoh ◽  
Hilman Fauzi
Keyword(s):  
Exchange Rate ◽  
Stock Market ◽  
Crude Oil ◽  
Capital Market ◽  
Oil Price ◽  
Crude Oil Price ◽  
Short Term ◽  
Macroeconomic Variables ◽  
Jones Index

This study attempts to examine the short-term and long-term relationship among selected global and domestic macroeconomic variables from each country (Fed rate, crude oil price, Dow Jones Index, interest rate, exchange rate and inflation) for Indonesia and Malaysia Islamic capital market (Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FHSI). The methodology used in this study is vector error correction model (VECM) for the monthly data starting from January 2006 to December 2010. The result shows that in the long-term, all selected macroeconomic variables except Dow Jones Index variable have significantly affect in both Islamic stock market FHSI and JII, while in the short-term there is no any selected macroeconomic variables that significantly affect FHSI and only inflation, exchange rate and crude oil price variables seem to significantly affect JII. Keywords : Islamic Stock Market, Jakarta Islamic Index, FTSE Hijrah Shariah Index, VAR/VECMJEL Classification: E52, E44

Irving Fisher and Financial Economics: The Equity Premium Puzzle, the Predictability of Stock Prices, and Intertemporal Allocation Under Risk

2007 ◽  
Vol 29 (2) ◽  
pp. 153-166 ◽  
Author(s):  
Robert W. Dimand
Keyword(s):  
Stock Market ◽  
Financial Markets ◽  
Stock Prices ◽  
Equity Premium ◽  
Stock Market Crash ◽  
Net Worth ◽  
Jones Index ◽  
Market Crashes ◽  
Intertemporal Allocation ◽  
Premium Puzzle

Irving Fisher is renowned as the pundit who declared in October 1929 that stock prices appeared to have reached a permanently high plateau and who, having amassed a net worth of ten million dollars in the boom of the 1920s, proceeded to lose eleven million dollars of that fortune in the crash, which, as John Kenneth Galbraith (1977, p. 192) remarked, “was a substantial sum, even for an economics professor.” Along with the Dow-Jones index, Fisher's reputation for understanding financial markets declined relative to that of Roger Babson, the stock forecaster, amateur economist, and founder of Babson College, who presciently predicted the stock market crash of autumn 1929 (and, with less prescience, the stock market crashes of 1926, 1927, and 1928, and the stock market recovery of 1930). An editorial in The Commercial and Financial Chronicle (November 9, 1929) declared of Fisher: “The learned professor is wrong as he usually is when he talks about the stock market” (quoted by Galbraith 1972, p. 151).

scholarly journals Volatility Spillover Effects In Asean-5 Stock Market: Does The Different Oil Price Era Change The Pattern?

2019 ◽  
Vol 3 (2) ◽  
pp. 116-134
Author(s):  
Dwika Darinda ◽  
Fikri C Permana
Keyword(s):  
Stock Market ◽  
Spillover Effects ◽  
The Philippines ◽  
Oil Price ◽  
Volatility Spillover ◽  
Jones Index ◽  
Volatility Transmission ◽  
Independent Variables ◽  
Daily Data ◽  
Asymmetric Garch

The aim of this study is to identify the pattern of volatility transmission in ASEAN-5 (Indonesia, Malaysia, Thailand, Singapore and the Philippines) stock market by examine Global Macro Shocks (proxyed by Brent oil price); Cross-Market Linkages (proxied by Dow Jones Index); and Economic Fundamental (proxied by exchange rate) as the sources of volatility. This paper utilizing VAR and asymmetric GARCH (1,1)-BEKK  model using the daily data between 4 January 2012 and 30 June 2017. The result shows that all independent variables have a significant volatility transmission to every ASEAN-5 stock market. Then in order to capture the different volatility transmission pattern, we divided the data into two periods which are “high-oil price” era and “low-oil price” era. Besides the different rate of volatility, we also find a different pattern of volatility transmission at Malaysia stock market (KLCI); Thailand stock market (SETI); and at Philippines stock market (PSEI) between these two eras.

scholarly journals Recurrence based entropies for sustainability indices

2020 ◽  
Vol 166 ◽  
pp. 13031
Author(s):  
Vasily Derbentsev ◽  
Serhiy Semerikov ◽  
Olexander Serdyuk ◽  
Victoria Solovieva ◽  
Vladimir Soloviev
Keyword(s):  
Risk Management ◽  
Comparative Analysis ◽  
Stock Market ◽  
Probability Density ◽  
Comprehensive Assessment ◽  
Jones Index ◽  
Dow Jones Industrial Average ◽  
Socially Responsive ◽  
Sustainability Indices

The work is devoted to a comparative analysis complexity of traditional stock market indices and social responsible indices in the example Dow Jones Sustainability Indices and Dow Jones Industrial Average. As measures of complexity, the entropies of various recurrence indicators are chosen – the entropy of the diagonal lines of the recurrence diagram, recurrence probability density entropy and recurrence entropy. It is shown that these measures make it possible to establish that the socially responsive Dow Jones index is more complex. A comprehensive assessment of complexity reveals the nature of the effectiveness of social responsible indices and opens up new opportunities for investor risk management.

Predicting Stock Market Performance

2020 ◽  
pp. 1-10
Author(s):  
Thomas Plieger ◽  
Thomas Grünhage ◽  
Éilish Duke ◽  
Martin Reuter
Keyword(s):  
Stock Market ◽  
Risk Taking ◽  
Life Stress ◽  
Price Volatility ◽  
Individual Characteristics ◽  
Self Report ◽  
Financial Behavior ◽  
Market Simulation ◽  
Stock Market Performance ◽  
Risk Taking Behavior

Abstract. Gender and personality traits influence risk proneness in the context of financial decisions. However, most studies on this topic have relied on either self-report data or on artificial measures of financial risk-taking behavior. Our study aimed to identify relevant trading behaviors and personal characteristics related to trading success. N = 108 Caucasians took part in a three-week stock market simulation paradigm, in which they traded shares of eight fictional companies that differed in issue price, volatility, and outcome. Participants also completed questionnaires measuring personality, risk-taking behavior, and life stress. Our model showed that being male and scoring high on self-directedness led to more risky financial behavior, which in turn positively predicted success in the stock market simulation. The total model explained 39% of the variance in trading success, indicating a role for other factors in influencing trading behavior. Future studies should try to enrich our model to get a more accurate impression of the associations between individual characteristics and financially successful behavior in context of stock trading.

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