Adaptive Stock Market Portfolio Management and Stock Prices Prediction Platform for Colombo Stock Exchange of Sri Lanka

2021 ◽  
Author(s):  
Samudith Nanayakkara ◽  
Ashen Wanniarachchi ◽  
Dushyanthi Vidanagama
Keyword(s):  
Sri Lanka ◽  
Stock Market ◽  
Portfolio Management ◽  
Stock Prices ◽  
Stock Exchange ◽  
Market Portfolio

Absence of the weekend effect and industry-style portfolios

2019 ◽  
Vol 12 (4) ◽  
pp. 463-475
Author(s):  
Selma Izadi ◽  
Abdullah Noman
Keyword(s):  
New York ◽  
Stock Market ◽  
Structural Breaks ◽  
Stock Exchange ◽  
Structural Break ◽  
Weekend Effect ◽  
Content Type ◽  
Market Portfolio ◽  
The Us ◽  
Using Data

Purpose The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years. Design/methodology/approach The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios. Findings As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper. Originality/value As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

scholarly journals Interdependence and Risk Comparison of Slovak, Hungarian and Polish Stock Markets: Policy and Managerial Implications

2019 ◽  
Vol 69 (2) ◽  
pp. 273-287 ◽  
Author(s):  
Florin Aliu ◽  
Besnik Krasniqi ◽  
Adriana Knapkova ◽  
Fisnik Aliu
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Markets ◽  
Stock Exchange ◽  
Weighted Average ◽  
Stock Index ◽  
Risk Level ◽  
Average Return ◽  
Monetary System ◽  
Managerial Implications

Risk captured through the volatility of stock markets stands as the essential concern for financial investors. The financial crisis of 2008 demonstrated that stock markets are highly integrated. Slovakia, Hungary and Poland went through identical centralist economic arrangement, but nowadays operate under diverse stock markets, monetary system and tax structure. The study aims to measure the risk level of the Slovak Stock Market (SAX index), Budapest Stock Exchange (BUX index) and Poland Stock Market (WIG20 index) based on the portfolio diversification model. Results of the study provide information on the diversification benefits generated when SAX, BUX and WIG20 join their stock markets. The study considers that each stock index represents an independent portfolio. Portfolios are built to stand on the available companies that are listed on each stock index from 2007 till 2017. The results of the study show that BUX generates the lowest risk and highest weighted average return. In contrast, SAX is the riskiest portfolio but generates the lowest weighted average return. The results find that the stock prices of BUX have larger positive correlation than the stock prices of SAX. Moreover, the highest diversification benefits are realized when Portfolio SAX joins Portfolio BUX and the lowest diversification benefits are achieved when SAX joins WIG20.

scholarly journals Tangled String for Multi-Timescale Explanation of Changes in Stock Market

Information ◽  
2019 ◽  
Vol 10 (3) ◽  
pp. 118 ◽  
Author(s):  
Yukio Ohsawa ◽  
Teruaki Hayashi ◽  
Takaaki Yoshino
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Time Scale ◽  
Stock Exchange ◽  
Data Driven ◽  
Change Points ◽  
Sequential Data ◽  
Visualization Tool ◽  
Data Market ◽  
Innovation Platform

This work addresses the question of explaining changes in the desired timescales of the stock market. Tangled string is a sequence visualization tool wherein a sequence is compared to a string and trends in the sequence are compared to the appearance of tangled pills and wires bridging the pills in the string. Here, the tangled string is extended and applied to detecting stocks that trigger changes and explaining trend changes in the market. Sequential data for 11 years from the First Section of the Tokyo Stock Exchange regarding top-10 stocks with weekly increase rates are visualized using the tangled string. It was found that the change points obtained by the tangled string coincided well with changes in the average prices of listed stocks, and changes in the price of each stock are visualized on the string. Thus, changes in stock prices, which vary across a mixture of different timescales, could be explained in the time scale corresponding to interest in stock analysis. The tangled string was created using a data-driven innovation platform called Innovators Marketplace on Data Jackets, and is extended to satisfy data users here, so this study verifies the contribution of data market to data-driven innovation.

The Effects of Macroeconomic Factors on the Performance of Stock Market in Sri Lanka

2018 ◽  
Vol 3 (6) ◽  
pp. 33-41 ◽  
Author(s):  
Shohani Upeksha Badullahewage
Keyword(s):  
Sri Lanka ◽  
Stock Market ◽  
Exchange Rates ◽  
Interest Rates ◽  
Stock Exchange ◽  
Market Performance ◽  
Vital Role ◽  
Sri Lankan ◽  
Macroeconomic Factors ◽  
Stock Market Performance

The main objective of this research is to analyze the vital impact of macroeconomic factors on the stock market performance in Sri Lanka. All the factors which have a direct impact on the working of the emerging stock market have hereby studied. The relationship between the pivotal factors such as inflation, gross domestic product, interest rates, and exchange rates has been properly conducted with the assistance of the indexes. The results of the analysis revealed that all these factors have an inseparable impact over the performance of the stock market and Sri Lankan stock market performance has eventually over gone through many ups and downs because of them as well. It has been revealed that among all the factors that have been discussed, inflation and exchange rates have comparatively higher effects on the stock market performance. It shows a fluctuation because of the unpredictable nature of these factors. Colombo Stock Exchange has seen a tremendous change in its performance over a period for which these factors have played a prominent as well as a vital role in it its functioning.

scholarly journals Testing Weak-Form Market Efficiency of Dhaka Stock Exchange

2015 ◽  
Vol 4 (2) ◽  
pp. 79-90
Author(s):  
Md.‬ Abu Hasan‬‬‬‬‬‬‬‬
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Weak Form ◽  
Jel Classification ◽  
Ratio Test ◽  
Daily Return ◽  
Classification Code ◽  
Augmented Dickey Fuller

Measuring the efficiency of the stock market is an important research topic as there are various implications for investors. This paper investigates the weak form efficiency in the framework of the random walk hypothesis for the stock market in Bangladesh, employing both Non Parametric tests (Runs test and Phillips-Perron test) and Parametric tests (Autocorrelation test, Augmented Dickey-fuller test, and Variance Ratio test). The study uses daily return data for the three stock indices of Dhaka Stock Exchange such as DSI (from 02 January 1993 to 27 January 2013) with a total of 4823 daily return observations, DGEN (from 01 January 2002 to 31 July 2013) with a total of 2903 daily return observations, and DSE-20 (from 01 January 2001 to 27 January 2013) with a total of 3047 daily return observations. The evidence suggests that all the return series do not follow the random walk model, and thus the Dhaka Stock Exchange is inefficient in weak form. Thus, historical stock prices can be used to achieve superior gains from the stock markets in Bangladesh. JEL Classification Code: C22, G10, G14

Performance and development of a thin stock market: the Stockholm Stock Exchange 1912–2017

2020 ◽  
pp. 1-19
Author(s):  
Kristian Rydqvist ◽  
Rong Guo
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Stock Selection ◽  
Data Set ◽  
Transaction Prices ◽  
Limit Orders ◽  
A Value

We estimate historical stock returns for Swedish listed companies in a newly constructed data set of daily stock prices that spans more than 100 years. Stock returns exhibit all the familiar characteristics. The growth of the public sector depressed the stock market, and the process of globalization revitalized it. Banks played an important role in the early development of the stock market. There was little trading in the past, and we examine the effects on return measurement from missing data. Stock selection and the replacement of missing transaction prices through search back procedures or limit orders make little difference to a value-weighted stock price index, while ignoring the price effects of capital operations makes a big difference.

scholarly journals The Behavior Patterns of Investors in Thailand Stock Market

2017 ◽  
Vol 9 (1) ◽  
pp. 155
Author(s):  
Quan Nhu Tran
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Exchange ◽  
Investment Decision ◽  
Behavior Patterns ◽  
Individual Investors ◽  
True Value ◽  
Investment Decision Making ◽  
Depth Interview ◽  
Decision Making Processes

The purpose of this paper is to investigate behavioral patterns expressed by investors in the Thailand stock market. The paper examines investment decision-making processes in the context of the current financial market in Thailand to shed some light on behavioral-induced pattern behind such investments. Data for this research was collated from 8 individual investors by semi-structured and in-depth interview. There are four behavioral factors of individual investors in Thailand Stock Exchange: Overconfidence, Excessive Optimism, Psychology of risk, and Herding Behavior. Securities Companies may also use the findings of this research for better understanding on investors’ decision to give better recommendations to them. Stock prices then reflect their true value and Thailand stock market becomes the yardstick of the economy’s wealth and helps enterprises to raise capital for business activities.

scholarly journals Macroeconomic Variables and Stock Market Returns in Sri Lanka

2017 ◽  
Vol 9 (2) ◽  
pp. 206
Author(s):  
Saseela Balagobei
Keyword(s):  
Exchange Rate ◽  
Sri Lanka ◽  
Stock Market ◽  
Inflation Rate ◽  
Stock Exchange ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Market Return ◽  
Stock Market Return

The stock market is one of the most energetic sectors that play an important role in contributing to the wealth of the economy. It plays a crucial role in the economic growth and development of an economy which would benefit industries, trade and commerce as a whole. The aim of this study is to investigate the impact of macroeconomic variables on stock market returns in Sri Lanka. Dependent variable of this study is stock market return measured by All Share Price Index (ASPI) and All Share Total Return Index (ASTRI) and independent variables are macroeconomic variables, such as Interest Rate (IR), Inflation Rate (INF), Exchange Rate (ER), Factory Industry Production Index (FIPI) and money supply (MS).  The study targets all the companies listed and active in Colombo Stock Exchange (CSE) from 2006 to 2015. For analysis, secondary data was collected from annual reports of Central bank of Sri Lanka, Colombo Stock Exchange, Securities and Exchange Commission and Department of Census and Statistics. The results of the study reveal that the stock market returns is influenced by macroeconomic variables except money supply in Sri Lanka. Interest rate and factory industry production have negative influence on stock market return in Colombo Stock exchange while inflation rate and exchange rate have positive influence on stock market return. The findings of the study may be useful to public and economy especially stock market investors to focus the macroeconomic variables for making their effective decisions in order to enhance their stock market returns.

Impact on Stock Price by the Inclusion to and Exclusion from CNX Nifty Index

2012 ◽  
Vol 13 (1) ◽  
pp. 39-50 ◽  
Author(s):  
M. Selvam ◽  
G. Indhumathi ◽  
J. Lydia
Keyword(s):  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Research Study ◽  
Stock Exchange ◽  
Valuation Effect ◽  
Index Maintenance ◽  
Indian Stock Market ◽  
The Impact ◽  
Indian Perspective

Changes in an index are a regular phenomenon and they take place due to the inclusion and exclusion of stocks from the index. The inclusion or exclusion of stocks creates great impact on the value of the firm. However, these changes are simply a short-lived event with no permanent valuation effect. The present research study analyzed the impact of the inclusion into and exclusion of certain stocks from National Stock Exchange (NSE) S&P CNX Nifty index with Indian perspective. The study provides evidence on whether the announcements of Nifty index maintenance committee have any information content. This will also demonstrate the efficiency of Indian stock market with particular reference to NSE. The study revealed that on an average, no permanent effects were observed on stock prices. It is also found from the study that the NSE reacted unfavourably to the inclusion and exclusion of stocks and it is impossible to earn any excess returns where the particular stocks are included or excluded from the index.

scholarly journals PERBANDINGAN KINERJA REKSA DANA SAHAM DENGAN METODE SHARPE, TREYNOR, DAN JENSEN

2018 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Ni Putu Ayu Darmayanti ◽  
Ni Putu Santi Suryantini ◽  
Henny Rahyuda ◽  
Sayu Ketut Sutrisna Dewi
Keyword(s):  
Performance Appraisal ◽  
Mutual Funds ◽  
Mutual Fund ◽  
Stock Prices ◽  
Stock Exchange ◽  
Statistical Tests ◽  
Portfolio Performance ◽  
Market Mechanisms ◽  
Market Portfolio ◽  
Equity Funds

<p>Reksa dana saham merupakan reksa dana yang menawarkan keuntungan yang tinggi namun juga memiliki risiko yang tinggi karena dipengaruhi oleh fluktuasi yakni penurunan harga saham yang dipengaruhi mekanisme pasar di bursa efek. Oleh karena itu para calon investor harus memiliki pengetahuan dalam memilih reksa dana mana yang akan dipilih. Dalam penelitian ini ingin membandingkan antara metode pengukuran kinerja Treynor, Sharpe, dan Jensen. Tujuan dari penelitian ini adalah untuk mengetahui ranking kinerja reksa dana saham yang dihasilkan menggunakan  ketiga metode tersebut, membandingkan kinerja reksa dana saham dengan suatu standar pengukuran (<em>benchmark</em>) yaitu kinerja IHSG, dan kemudian untuk mengetahui ada atau tidaknya perbedaan ranking yang dihasilkan oleh ketiga metode tersebut. Berdasarkan hasil penilaian kinerja dengan metode Sharpe, jika dibandingkan dengan IHSG sebagai <em>benchmark</em>, sebanyak 17 (18,5 persen)  reksa dana memiliki kinerja yang <em>outperform</em> atau kinerjanya di atas kinerja portofolio pasar. Sisanya sebanyak 75 reksa dana ditemukan <em>underperform</em> atau kinerjanya di bawah portofolio pasar. Hasil penilaian kinerja dengan metode Treynor dan Jensen, sebanyak 33 (35,87 persen) reksa dana memiliki kinerja yang <em>outperform</em> atau kinerjanya di atas kinerja portofolio pasar. Sisanya sebanyak 59 reksa dana ditemukan <em>underperform. </em>Reksa dana yang <em>outperform</em> dapat dipertimbangkan oleh investor sebagai alternatif investasi. Dari hasil pengujian statistik mengenai perbedaan ranking kinerja reksa dana dengan menggunakan metode Sharpe, Treynor, dan Jensen, dapat disimpulkan bahwa ketiga metode penilaian kinerja tidak menghasilkan ranking kinerja yang berbeda-beda secara signifikan</p><p> </p><p><em>Equity funds are mutual funds that offer high profits but also have a high risk because they are influenced by fluctuations in the decline in stock prices which are influenced by market mechanisms on the stock exchange. Therefore, potential investors must have knowledge in choosing which mutual fund to choose. In this study wanted to compare the performance measurement methods of Treynor, Sharpe, and Jensen. The purpose of this study was to determine the ranking performance of equity funds generated using these three methods, compare the performance of equity funds with a benchmark standard, namely the JCI performance, and then to find out whether or not there are ranking differences generated by these three methods. . Based on the results of the performance evaluation with the Sharpe method, when compared with the JCI as a benchmark, as many as 17 (18.5 percent) mutual funds have outperformed performance or performance above the market portfolio performance. The results of the performance appraisal with the Treynor and Jensen methods, as many as 33 (35.87 percent) mutual funds have outperformed performance or performance above the market portfolio performance. Mutual funds that are outperformed can be considered by investors as an alternative investment. From the results of statistical tests regarding differences in the ranking of mutual fund performance using the Sharpe, Treynor, and Jensen methods, it can be concluded that the three methods of performance appraisal do not produce performance ratings that differ significantly.</em><em></em></p>

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