The Influence of Trading Volume, Market Trend, and Monetary Policy on Characteristics of the Chinese Stock Exchange

2019 ◽  
Author(s):  
Zhenpeng Tang ◽  
Meng Ran ◽  
Weihong Chen
Keyword(s):  
Monetary Policy ◽  
Trading Volume ◽  
Stock Exchange

scholarly journals The Influence of Trading Volume, Market Trend, and Monetary Policy on Characteristics of the Chinese Stock Exchange: An Econophysics Perspective

Open Physics ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 985-998
Author(s):  
Meng Ran ◽  
Zhenpeng Tang ◽  
Weihong Chen
Keyword(s):  
Monetary Policy ◽  
Trading Volume ◽  
Stock Exchange ◽  
Composite Index ◽  
Policy Formulation ◽  
Time Intervals ◽  
Monetary Policies ◽  
Policy Cycles ◽  
Trading Volumes ◽  
Healthy Growth

Abstract The paper adopts the financial physics approach to investigate influence of trading volume, market trend, as well as monetary policy on characteristics of the Chinese Stock Exchange. Utilizing 1-minute high-frequency data at various time intervals, the study examines the probability distribution density, autocorrelation and multi-fractal of the Shanghai Composite Index. Our study finds that the scale of trading volume, stock market trends, and monetary policy cycles all exert significant influences on micro characteristics of Shanghai Composite Index. More specifically, under the conditions of large trading volumes, loose monetary policies, and downward stock trends, the market possesses better fitting on Levy’s distribution, the volatility self-correlation is stronger, and multifractal trait is more salient. We hope our study could provide better guidance for investment decisions, and form the basis for policy formulation aiming for a healthy growth of the financial market.

Uji Komparasi Abnormal Return, Trading Volume, Trading Frequency, Dan Bid-Ask Spread Sebelum Dan Sesudah Share Split

2016 ◽  
Vol 8 (2) ◽  
pp. 24-45
Author(s):  
Tania Hayu Safira ◽  
Febryanti Simon
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Distributed Data ◽  
Trading Frequency ◽  
Bid Ask Spread ◽  
Analysis Technique ◽  
Before And After ◽  
Test Of Hypothesis ◽  
Kolmogorov Smirnov

This study is event study that was conduct to examine the differences of abnormal return, trading volume, trading frequency and bid-ask spread before and after the events of share split. The object of this research is the companies that did share split and listed in Indonesia Stock Exchange in 2008 - 2015. The samples are 30 companies chosen by purposive sampling method. The criteria are the company did not do corporate action right issue, pre-emptive rights, a share dividend and bonus shares in the same year with share split. Event window used in this study was 30 days consisting of 15 days before and 15 days after the share split. Data analysis technique begins with a test of normality using Kolmogorov – Smirnov and transform for unnormally distributed data. Then, test of hypothesis using Paired t – test to compare the differences before and after share split. The results of this study showed that volume trading activity and trading frequency had significant differences before and after the share split. While, variable abnormal return and bid-ask spread had not significant differences before and after the share split. Keywords: Abnormal return, bid-ask spread, share split, trading frequency, trading volume.

Disposition effect at the market level: evidence from Indian stock market

2019 ◽  
Vol 12 (2) ◽  
pp. 69-82
Author(s):  
Sravani Bharandev ◽  
Sapar Narayan Rao
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Reference Points ◽  
Disposition Effect ◽  
Content Type ◽  
Ex Post ◽  
Abnormal Trading Volume ◽  
The Difference ◽  
Trading Volumes ◽  
Indian Stock Market

Purpose The purpose of this paper is to test the disposition effect at market level and propose an appropriate reference point for testing disposition at market level. Design/methodology/approach This is an empirical study conducted on 500 index stocks of NSE500 (National Stock Exchange). Winning and losing days for each stock are calculated using 52-week high and low prices as reference points. To test disposition effect, abnormal trading volumes of stocks are regressed on their percentage of winning (losing) days. Further using ANOVA, the difference between mean of percentage of winning (losing) days of high abnormal trading volume deciles and low abnormal trading volume deciles is tested. Findings Results show that a stock’s abnormal trading volume is positively influenced by the percentage of winning days whereas percentage of losing days show no such effect. Findings are consistent even after controlling for volatility and liquidity. ANOVA results show the presence of high percentage of winning days in higher deciles of abnormal trading volumes and no such pattern in case of losing days confirms the presence of disposition effect. Further an ex post analysis indicates that disposition prone investors accumulate losses. Originality/value This is the first study, which proposes the use of 52-week high and low prices as reference points to test the market-level disposition effect. Findings of this study enhance the limited literature available on disposition effect in emerging markets by providing evidence from Indian stock markets.

scholarly journals Analisis Reaksi Pasar Terhadap Pengumuman Merger dan Akuisisi Pada Perusahaan Akuisitor yang Terdaftar di BEI

2018 ◽  
pp. 1870
Author(s):  
Ika Putri Adnyani ◽  
Gayatri Gayatri
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Sampling Method ◽  
Stock Exchange ◽  
Cumulative Abnormal Return ◽  
Test Results ◽  
Volume Activity ◽  
Paired Sample ◽  
Analysis Technique ◽  
Before And After

This research is conducted on all acquisition companies that conduct acquisitions listed on Indonesia Stock Exchange 2011-2016 period. Sampling method using purposive sampling. The number of samples of this research is 50 companies. The market reaction in this study used abnormal return and trading volume activity. The testing of information content will be done by looking at differences in cumulative abnormal return and the average trading volume of shares five days before and five days after the announcement of the acquisition. Data analysis technique used is paired sample t-test. Based on the test results, found there are significant differences in the abnormal return of the acquirer company before and after the announcement of the acquisition. However, there is no difference in trading volume activity of the acquirer's stock before and after the acquisition announcement   Keywords: acquisitions, stock market, abnormal return, trading volume activity

scholarly journals Regular Econometric Model of Taylor for Albania

2016 ◽  
Vol 5 (1) ◽  
pp. 123
Author(s):  
Ergys Misha
Keyword(s):  
Economic Growth ◽  
Monetary Policy ◽  
Interest Rates ◽  
Financial Stability ◽  
Inflation Targeting ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Central Banks ◽  
Financial Assets

The Taylor’s Rule Central Banks is applying widely today from Central Banks for design the monetary policy and for determination of interest rates. The purpose of this paper is to assess monetary policy rule in Albania, in view of an inflation targeting regime. In the first version of the Model, the Taylor’s Rule assumes that base interest rate of the monetary policy varies depending on the change of (1) the inflation rate and (2) economic growth (Output Gap).Through this paper it is proposed changing the objective of the Bank of Albania by adding a new objective, that of "financial stability", along with the “price stability”. This means that it is necessary to reassess the Taylor’s Rule by modifying it with incorporation of indicators of financial stability. In the case of Albania, we consider that there is no regular market of financial assets in the absence of the Stock Exchange. For this reason, we will rely on the credit developmet - as a way to measure the financial cycle in the economy. In this case, the base rate of monetary policy will be changed throught: (1) Targeting Inflation Rate, (2) Nominal Targeting of Economic Growth, and (3) Targeting the Gap of the Ratio Credit/GDP (mitigating the boom cycle, if the gap is positive, and the contractiocycle if the gap is negative).The research data show that, it is necessary that the Bank of Albania should also include in its objective maintaining the financial stability. In this way, the contribution expected from the inclusion of credit gap indicators in Taylor’s Rule, will be higher and sustainable in time.

scholarly journals Hubungan Perilaku Perdagangan Investor Dengan Volume Perdagangan Di Bursa Efek Indonesia

2009 ◽  
Vol 2 (1) ◽  
Author(s):  
Ghazali Syamni
Keyword(s):  
Trading Volume ◽  
Stock Exchange ◽  
Time Interval ◽  
Time Intervals ◽  
Using Data ◽  
Changes Over Time ◽  
Relationship Of ◽  
The Relationship ◽  
Order Pattern ◽  
Over Time

This paper examines the relationship of behavior trading investor using data detailed transaction history-corporate edition demand and order history in Indonesia Stock Exchange during period of March, April and May 2005. Peculiarly, behavior placing of investor order at trading volume. The result of this paper indicates that trading volume order pattern to have pattern U shape. The pattern happened that investors have strong desires to places order at the opening and close of compared to in trading periods. While the largest orders are of market at the opening indicates that investor is more conservatively when opening, where many orders when opening has not happened transaction to match. In placing order both of investor does similar strategy. By definition, informed investors’ orders more large than uninformed investors. If comparison of order examined hence both investors behavior relatively changes over time. But, statistically shows there is not ratio significant. This implies behavior trading of informed investors and uninformed investors stable relative over time. The result from regression analysis indicates that informed investors to correlate at trading volume in all time intervals, but not all uninformed investors correlates in every time interval. This imply investor order inform is more can explain trading volume pattern compared to uninformed investor order in Indonesia Stock Exchange. Finally, result of regression also finds that order status match has greater role determines trading volume pattern intraday especially informed buy match and informed sale match. While amend, open and withdraw unable to have role to determine intraday trading volume pattern.

scholarly journals Abnormal Return dan Trading Volume Activity Saham-Saham LQ45 pada Peristiwa Pengumuman Kebijakan Quantitative Easing oleh Bank Sentral Amerika Serikat

2016 ◽  
Vol 1 (1) ◽  
pp. 11-21
Author(s):  
Muhammad Falih Ariyanto
Keyword(s):  
Capital Market ◽  
Abnormal Return ◽  
Trading Volume ◽  
Stock Exchange ◽  
Quantitative Easing ◽  
Volume Activity ◽  
Long Run ◽  
Positive Abnormal Return ◽  
International Event ◽  
Market Test

This research is an empirical study to analyze international event and its impacts on Indonesian capital market. The international event in this study is expansionary monetary policy issued by the Federal Reserve in the form of quantitative easing policies that were announced in three stages, on 26 November 2008, 4 November 2010, and 14 September 2012 (Indonesia Stock Exchange trading day). The study analyzed the abnormal return and trading volume activity occured at each event period. Observation period in this study used 120-day estimation period and 11-day event period at each stage of the quatitative easing announcement. The event study was done in Indonesian capital market represented by 127 shares that are catagorized as LQ45 index and actively traded in each event period. The assumption that Indonesian capital market is co-integrated with international capital market can make the announcement of quantitative easing policy as positive information for investors in Indonesia. The analysis results show that a significant positive abnormal return around the event date and a significant increase in the intensity trading activities after the quantitative easing announcement, occured. The market test results show that Indonesian capital market has efficient information in a semi-strong form, so that the investors cannot use the published information to get profits (positive abnormal return) in a long run (around the date of the event only).   Abstrak Penelitian ini merupakan studi empiris untuk menganalisis peristiwa internasional dan dampaknya terhadap pasar modal Indonesia. Peristiwa internasional yang diteliti adalah pengumuman kebijakan moneter ekspansif yang dikeluarkan oleh Bank Sentral Amerika Serikat, yaitu quantitative easing yang dilakukan dalam tiga tahapan pengumuman pada tanggal 26 November 2008, 4 November 2010 dan 14 September 2012 (hari perdagangan bursa di Indonesia). Penelitian dilakukan dengan menganalisis abnormal return dan trading volume activity yang terjadi disetiap periode peristiwa. Penelitian ini menggunakan periode pengamatan yang terdiri dari 120 hari periode estimasi dan 11 hari periode peristiwa disetiap tahapan pengumuman quantitative easing. Analisis studi peristiwa dilakukan pada pasar modal Indonesia yang diwakili oleh 127 saham yang pernah masuk dalam kategori indeks LQ45 dan secara aktif diperdagangkan disetiap periode peristiwa. Asumsi bahwa pasar modal Indonesia terkointegrasi dengan pasar modal internasional menyebabkan pengumuman kebijakan quantitative easing dapat menjadi informasi yang positif bagi pemodal di Indonesia. Hasil analisis menunjukkan bahwa terjadi abnormal return positif yang signifikan di sekitar tanggal peristiwa dan peningkatan intensitas perdagangan yang signifikan setelah peristiwa pengumuman kebijakan quantitative easing. Hasil pengujian efisiensi pasar menunjukkan bahwa pasar modal Indonesia efisien secara informasi dalam bentuk setengah kuat sehingga pemodal tidak dapat menggunakan informasi yang dipublikasikan untuk mendapatkan keuntungan (abnormal return positif) dalam jangka waktu yang lama (hanya di sekitar tanggal peristiwa).

scholarly journals THE XBRL TECHNOLOGY AND MARKET EFFICIENCY IN BANKING COMPANIES LISTED ON THE INDONESIA STOCK EXCHANGE (IDX)

2020 ◽  
Vol 4 (1) ◽  
pp. 26
Author(s):  
Erni Jayani ◽  
Jumiadi Abdi Winata ◽  
Khairunnisa Harahap
Keyword(s):  
Information Asymmetry ◽  
Market Efficiency ◽  
Financial Reporting ◽  
Stock Prices ◽  
Trading Volume ◽  
Sampling Method ◽  
Stock Exchange ◽  
Institutional Ownership ◽  
Accurate Information ◽  
Stock Trading

The problem in this research is the need for fast and accurate information in the format of the presentation of financial statements resulting in the distribution of information, and data management can be problematic. Therefore, a format for financial reporting systems, namely Extensible Business Reporting Language (XBRL), was formed. The purpose of this study was to determine the effect of XBRL technology, stock prices, Return on Assets (ROA), and institutional ownership on market efficiency (information asymmetry and stock trading volume). The population and sample of this study are banking companies listed on the Indonesia Stock Exchange from 2015-2016. The sampling method using a purposive sampling method and obtained a sample of 42 companies. Data collection techniques are carried out by taking data from the Indonesia Stock Exchange website (www.idx.co.id) and the site http://finance.yahoo.com. Data were analyzed with multiple regression tests after being declared normal with the normality test and though using SPSS 20. The results of this study simultaneously stated that XBRL technology, stock prices, ROA, and institutional ownership together have an influence on information asymmetry and stock trading volume. From the results of the study, it can be concluded that XBRL technology, stock prices, ROA, and institutional ownership cause a decrease in the level of information asymmetry and trading volume. This result also states that the company is in excellent condition when the value of information asymmetry decreases, but it is not good when the trading volume of its shares also decreases. Keywords: XBRL Technology; Stock Prices; Market Efficiency; Information Asymmetry; Stock Trading Volume. 

scholarly journals The dynamic relationship between stock returns and trading volumes in Nepalese stock market

2020 ◽  
Vol 23 (2) ◽  
pp. 161-172
Author(s):  
Prem Lal Adhikari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Time Series Data ◽  
Stock Exchange ◽  
Causal Effect ◽  
Empirical Relationship ◽  
Insurance Companies ◽  
Series Data ◽  
Dynamic Relationship

 In finance, the relationship between stock returns and trading volume has been the subject of extensive research over the past years. The main motivation for these studies is the central role that trading volume plays in the pricing of financial assets when new information comes in. As being interrelated and interdependent subjects, a study regarding the trading volume and stock returns seem to be vital. It is a well-researched area in developed markets. However, very few pieces of literature are available regarding the Nepalese stock market that explores the association between trading volume and stock return. Realizing this fact, this paper aims to examine the empirical relationship between trading volume and stock returns in the Nepalese stock market using time series data. The study sample is comprised of 49 stocks traded on the Nepal Stock Exchange (NEPSE) from mid-July 2011 to mid-July 2018. This study examines the Granger Causality relationship between stock returns and trading volume using the bivariate VAR model used by de Medeiros and Van Doornik (2008). The study found that the overall Nepalese stock market does not have a causal relationship between trading volume and return on the stock. In the case of sector-wise study, there is a unidirectional causality running from trading volume to stock returns in commercial banks and stock returns to trading volume in finance companies, hydropower companies, and insurance companies. There is no indication of any causal effect in the development bank, hotel, and other sectors. This study also finds that there is no evidence of bidirectional causality relationships in any sector of the Nepalese stock market.

scholarly journals Trading Volume as a Predictor of Market Movement

2019 ◽  
Vol 8 (2) ◽  
pp. 57-69
Author(s):  
Edson Kambeu
Keyword(s):  
Logistic Regression ◽  
Stock Market ◽  
Regression Model ◽  
Trading Volume ◽  
Logistic Regression Model ◽  
Predictive Analytics ◽  
Stock Exchange ◽  
Stock Market Index ◽  
Trading Volumes ◽  
Popular Language

A logistic regression model is has also become a popular model because of its ability to predict, classify and draw relationships between a dichotomous dependent variable and dependent variables. On the other hand, the R programming language has become a popular language for building and implementing predictive analytics models. In this paper, we apply a logistic regression model in the R environment in order to examine whether daily trading volume at the Botswana Stock Exchange influence daily stock market movement. Specifically, we use a logistic regression model to find the relationship between daily stock movement and the trading volumes experienced in the recent five previous trading days. Our results show that only the trading volume for the third previous day influence current stock market index movement. Overall, trading volumes of the past five days were found not have an impact on today’s stock market movement. The results can be used as a basis for building a predictive model that utilizes trading as a predictor of stock market movement.

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