scholarly journals DPP: Deep predictor for price movement from candlestick charts

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252404
Author(s):  
Chih-Chieh Hung ◽  
Ying-Ju Chen
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Extensive Study ◽  
Stock Index ◽  
Stock Market Index ◽  
Price Movement ◽  
Market Prices ◽  
Taiwan Stock Exchange ◽  
Market Index ◽  
Political Events

Forecasting the stock market prices is complicated and challenging since the price movement is affected by many factors such as releasing market news about earnings and profits, international and domestic economic situation, political events, monetary policy, major abrupt affairs, etc. In this work, a novel framework: deep predictor for price movement (DPP) using candlestick charts in the stock historical data is proposed. This framework comprises three steps: 1. decomposing a given candlestick chart into sub-charts; 2. using CNN-autoencoder to acquire the best representation of sub-charts; 3. applying RNN to predict the price movements from a collection of sub-chart representations. An extensive study is operated to assess the performance of the DPP based models using the trading data of Taiwan Stock Exchange Capitalization Weighted Stock Index and a stock market index, Nikkei 225, for the Tokyo Stock Exchange. Three baseline models based on IEM, Prophet, and LSTM approaches are compared with the DPP based models.

scholarly journals Impact of Political Uncertainty on Pakistan Stock Exchange: An Event Study Approach

2020 ◽  
Vol 11 (2) ◽  
pp. 194
Author(s):  
Fiaz Ahmad SULEHRI ◽  
Amjad ALI
Keyword(s):  
Stock Market ◽  
Event Study ◽  
Abnormal Return ◽  
Stock Exchange ◽  
Stock Market Index ◽  
Study Approach ◽  
Market Index ◽  
Political Events ◽  
14Th Amendment ◽  
The Impact

Pakistan is struggling against many problems; out of which political instability and terrorism are crucial problems. These issues hindered the economic growth of the country as well as the confidence of investors. This study has investigated the impact of political events on Pakistan Stock Exchange. This paper uses a standard event study methodology. Data relating to the stock market index has been collected from the website of Pakistan Stock Exchange and relating to political events has been collected from the newspapers of Business Recorder and DAWN. A total of 18 political events was considered in the study out of which 08 events were coded as positive and other 10 were deemed negative. The first day abnormal return, a five-day cumulative abnormal return and ten-day cumulative return was calculated for all of the events. This study found evidence that political events affected the stock market in Pakistan, but their impact is different considering the economic and political implications of these events. Certain events had the strongest impact on the stock market like Nuclear tests for effective defense, the Supreme Court had revoked the Presidential order and Nawaz Sharif had been reinstated, General elections held in the country and the 14th amendment because 14th amendment was related to the elimination of corruption in political parties. Overall, this study laid the foundation to make further explorations into the phenomenon of uncertainty caused by political events in relevance to the stock market in Pakistan.

scholarly journals The long-Run and Short-Run Analysis between Stock Market Index and Macroeconomic Variables in Jordan: Bounds Tests Approach

2019 ◽  
Vol 12 (4) ◽  
pp. 50
Author(s):  
Raed Walid Al-Smadi ◽  
Muthana Mohammad Omoush
Keyword(s):  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Series Data ◽  
Stock Market Index ◽  
Macroeconomic Variables ◽  
Market Index ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

This paper investigates the long-run and short-run relationship between stock market index and the macroeconomic variables in Jordan. Annual time series data for the 1978–2017 periods and the ARDL bounding test are used. The results identify long-run equilibrium relationship between stock market index and the macroeconomic variables in Jordan. Jordanian policy makers have to pay more attention to the current regulation in the Amman Stock Exchange(ASE) and manage it well, thus ultimately helping financial development.

scholarly journals On the co-movement of crude, gold prices and stock index in the Indian market

2020 ◽  
Vol 07 (03) ◽  
pp. 2050036
Author(s):  
Abhibasu Sen ◽  
Karabi Dutta Choudhury
Keyword(s):  
Wavelet Analysis ◽  
Stock Exchange ◽  
Stock Index ◽  
Wavelet Coherence ◽  
Discrete Wavelet ◽  
Indian Market ◽  
Stock Market Index ◽  
Time Frequency ◽  
Market Index ◽  
Indian Stock Market

The nonlinear relationship in the joint time-frequency domain has been studied for the Indian National Stock Exchange (NSE) with the international Gold price and WTI Crude Price being converted from Dollar to Indian National Rupee based on that week’s closing exchange rate. Though a good correlation was obtained during some period, but as a whole no such cointegration relation can be found out. Using the Discrete Wavelet Analysis, the data was decomposed and the presence of Granger Causal relations was tested. Unfortunately, no significant relationships are being found. We then studied the Wavelet Coherence of the two pairs, namely NSE-Nifty & Gold and NSE-Nifty & Crude. For different frequencies, the coherence between the pairs have been studied. At lower frequencies, some relatively good coherence have been found. In this paper, we report for the first time the co-movements between Crude Oil, Gold and Indian Stock Market Index using Wavelet Analysis (both Discrete and Continuous), a technique which is most sophisticated and recent in market analysis. Thus, for long-term traders they can include gold and/or crude in their portfolio along with NSE-Nifty index in order to decrease the risk (volatility) of the portfolio for the Indian Market. But for short-term traders, it will not be effective, not to include all the three in their portfolio.

scholarly journals Will the Stock Market Index Upsurge or Deflate? Making Calculated Predictions Using the Univariate Autoregressive Integrated Moving Average Technique

2018 ◽  
Vol III (IV) ◽  
pp. 413-426
Author(s):  
Mustafa Afeef ◽  
Nazim Ali ◽  
Adnan Khan
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Moving Average ◽  
Stock Market Index ◽  
Short Term ◽  
Average Technique ◽  
Autoregressive Integrated Moving Average ◽  
Past Behavior ◽  
Market Index ◽  
Arima Modeling

Movements in a stock market index may safely be considered one of the mostwatched out phenomena by investors in almost every economy. One method to forecast the index is to study all those external factors that directly affect it. Another way, however, is to base ones predictions on the past behavior of the variable of interest. This paper has employed the method described latter and has, therefore, made use of the ARIMA modeling. In this connection, the daily stock market index data of the Karachi Stock Exchange 100 index was taken for twenty years from 1997 to 2017 which translated into 4940 observations. The study revealed that the model was decently efficient in forecasting the KSE 100 Index, though only for the short-range. The upshot of this study may be utilized specifically by short term investors in deciding on when, and when not, to invest in the stock market.

scholarly journals GLOBALISASI PASAR MODAL DUNIA DAN PENGARUHNYA TERHADAP PASAR MODAL INDONESIA

2017 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
R Adisetiawan
Keyword(s):  
Stock Market ◽  
Capital Markets ◽  
Capital Market ◽  
Stock Exchange ◽  
Global Market ◽  
Stock Market Index ◽  
Causality Test ◽  
Global Capital ◽  
Market Index ◽  
Cointegration Tests

This study aims to prove causality, cointegration and the influence of global capital markets with a market capital of Indonesia for the period 2001-2016 with a Granger causality test statistics, cointegration tests and Multiple Regression testing. These results prove that the 99% confidence interval occurred a long term relationship (cointegration) and the significant influence of global market indices with the Indonesia capital market index (CSPI) in Indonesia Stock Exchange (IDX) for the period 2001 to 2016, it indicates that Indonesia's economy has been integrated with global capital markets with varying levels of integration, but is causally there is only one country that has a causal relationship with the Indonesian stock market index (CSPI), the Taiwan stock market index (TWSE).Keywords: Capital Market Integration

scholarly journals VOLATILITAS INDEKS KOMPOSIT PASAR MODAL ASEAN-3

2020 ◽  
Vol 5 (4) ◽  
Author(s):  
Anhar Fauzan Priyono
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Exchange Rate Regime ◽  
Composite Index ◽  
Stock Index ◽  
Movement Behavior ◽  
Stock Market Index ◽  
Monthly Basis ◽  
Volatility Model ◽  
Aggregate Investment

Rapid integration between domestic and world economy in the last decade has been a major issue. For Indonesia, the situation has been accelerated by the adoption of floating exchange rate regime in 1997, also with the development of Indonesia stock exchange. One notable financial variable that often exposed to external shocks is stock market index. This research will analyzed the behavior of 3 major stock market indices in ASEAN, those are Jakarta Composite Index (JCI), Kuala Lumpur stock index (KLSE), and Singapore stock index (STI). The employment of volatility model is chosen to figured the behavior of those 3 indices, and to analyze the aggregate investment in each stock market. Observation will be based upon monthly basis, from 2010 until 2015.The findings in this research are (i) similarity in the movement behavior of ASEAN-3 stock market indices, (ii) Indonesia stock market shows the highest aggregate investment return relative to Malaysia and Singapore, (iii) Singapore stock market shows the lowest aggregate investment risk relative to Indonesia and Malaysia, as the representation of more developed stock market.

scholarly journals The Stock Market Situation and Economic Growth – An Attempt to Assess the Dependence

2021 ◽  
Vol 4 (32) ◽  
pp. 117-128
Author(s):  
Michał Radke
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Pearson Correlation ◽  
Research Work ◽  
Calculated Data ◽  
Stock Index ◽  
Rate Of Return ◽  
Real Economy ◽  
Stock Market Index ◽  
Market Situation

The aim of the article: The main aim of the article is to analyze the relationship between the stock market situation and the real economy, measured by the strength of the correlation between the rate of return on the stock market and the rate of GDP growth in European capital markets. The next objective is to answer the question whether the stock market index changes are ahead of, and if so, by how much, GDP changes. The author’s hypothesis stipulates that the stock exchange situation precedes the change in economic activity and serves as its forecast. Methodology: The empirical research work was carried out on the basis of quarterly data value of the stock index and the GDP between 2010 and the first quarter of 2021 for 20 European countries. For indices and GDP, the quarterly dynamics of the rate of return and GDP were calculated. Data on the value of the stock exchange index was taken from the website www.stooq.pl, while data on GDP was taken from Eurostat. Subsequently, the analysis concerned the correlation relationships between the variables on the basis of the Pearson correlation coefficient. The correlation between the variables was calculated without delay, as well as with a delay of one, two or three quarters of the returns on stock indices. Results of the research: Changes in the value of the stock exchange index is in most cases positively correlated with the change in GDP and the correlation is pronounced, but it is low and moderate. The only market for which a significant correlation was observed, was the Polish market. At the same time, it can be stated that the rates of return on the stock exchange index precede a change in GDP by one or three quarters. No changes were observed for the analyzed countries for two quarters.

Permutation entropy and statistical analysis of the historical evolution of the Mexican stock market index

2022 ◽  
Author(s):  
M. Rodríguez-Achach ◽  
A. Suárez-Solís ◽  
A. R. Hernández Montoya ◽  
J. E. Escalante-Martínez ◽  
C. Calderón-Ramón
Keyword(s):  
Stock Market ◽  
Time Window ◽  
Stock Index ◽  
Permutation Entropy ◽  
Stock Market Index ◽  
Statistical Tools ◽  
Efficient Market ◽  
Market Index ◽  
Before And After ◽  
Year 2000

The objective of this work is to analyze the Indice de Precios y Cotizaciones (IPC), which is the Mexican stock market index, by using several statistical tools in order to study the tendencies that can shed light on the evolution of the IPC towards a more efficient market. The methodology used is to apply the statistical tools to the Mexican index and compare the results with a mature and well-known market index such as the Dow Jones Industrial Average (DJIA). We employ an autocorrelation analysis, and the volatility of the indexes, applied to the daily returns of the closing price on a moving time window during the studied period (1980–2018). Additionally, we perform an order three permutation entropy analysis, which can quantify the disorder present in the time series. Our results show that there is evidence that the IPC has become more mature since its creation and that it can be considered an efficient market since around year 2000. The behavior of the several techniques used shows a similar behavior to the DJIA which is not observed before that year. There are some limitations mainly because there is no high frequency data that would permit a more detailed analysis, specifically in the periods before and after a crisis is located. Our conclusion is that since around the year 2000, the Mexican stock index displays the typical behavior of other mature markets and can be considered as one.

scholarly journals Quantitative relationship between corruption and development of the Tunisian stock market

2018 ◽  
Vol 7 (2) ◽  
pp. 39-47
Author(s):  
Ibtissem Missaoui ◽  
Mohsen Brahmi ◽  
Jaleleddine BenRajeb
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Quantitative Relationship ◽  
Stock Market Index ◽  
Private Companies ◽  
Stock Market Development ◽  
Market Index ◽  
The Government ◽  
The Impact ◽  
Positive Effect

The aim of this article is to seek especially the impact of corruption on the bond and stock market development. For the methodology/approach, the authors analyze a sample of 20 listed Tunisian firms from the Stock Exchange and Financial market, covering the period from 2006 to 2016 by using pooling cross section techniques. The results find a significant positive effect of the level of corruption on the stock market index and the logarithm of capitalization. This is consistent with the view that corruption accelerates the economic growth by speeding up transactions and allowing private companies to overcome the inefficiencies imposed by the government. Furthermore, the results find a negative association is not significant with the dependent variable of traded value as a percentage of the number of listed companies.

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