Identification, Clustering and Comparing Effective Industries at Tehran Stock Exchange Before and after its Legal Structure Change by Minimum Spanning Tree of Distance Ultra Metric

2010 ◽  
Author(s):  
Dariush Damoori ◽  
H. Anvar ◽  
Morteza Ashhar
Keyword(s):  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Stock Exchange ◽  
Structure Change ◽  
Legal Structure ◽  
Before And After

scholarly journals SPANNING TREES AND BOOTSTRAP RELIABILITY ESTIMATION IN CORRELATION-BASED NETWORKS

2007 ◽  
Vol 17 (07) ◽  
pp. 2319-2329 ◽  
Author(s):  
MICHELE TUMMINELLO ◽  
CLAUDIA CORONNELLO ◽  
FABRIZIO LILLO ◽  
SALVATORE MICCICHÈ ◽  
ROSARIO N. MANTEGNA
Keyword(s):  
New York ◽  
Spanning Tree ◽  
Spanning Trees ◽  
Minimum Spanning Tree ◽  
Stock Exchange ◽  
Reliability Estimation ◽  
Economic Sectors ◽  
Average Linkage ◽  
A New Technique ◽  
Linkage Cluster

We introduce a new technique to associate a spanning tree to the average linkage cluster analysis. We term this tree as the Average Linkage Minimum Spanning Tree. We also introduce a technique to associate a value of reliability to the links of correlation-based graphs by using bootstrap replicas of data. Both techniques are applied to the portfolio of the 300 most capitalized stocks traded on the New York Stock Exchange during the time period 2001–2003. We show that the Average Linkage Minimum Spanning Tree recognizes economic sectors and sub-sectors as communities in the network slightly better than the Minimum Spanning Tree. We also show that the average reliability of links in the Minimum Spanning Tree is slightly greater than the average reliability of links in the Average Linkage Minimum Spanning Tree.

scholarly journals A MAP OF THE BRAZILIAN STOCK MARKET

2012 ◽  
Vol 15 (05) ◽  
pp. 1250042 ◽  
Author(s):  
LEONIDAS SANDOVAL
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Network Theory ◽  
Correlation Matrix ◽  
Spanning Tree ◽  
Minimum Spanning Tree ◽  
Stock Exchange ◽  
Sao Paulo ◽  
Threshold Values ◽  
Using Data

The correlation matrix of stocks returns is used in order to create maps of the São Paulo Stock Exchange (BM&F-Bovespa), Brazil's main stock exchange. The data refer to the year 2010, and the correlations between stock returns lead to the construction of a minimum spanning tree and of asset graphs with a variety of threshold values. The results are analyzed using techniques of network theory. Also, using data from 2007 to 2010, a study is made on the dynamics of the network formed by stocks from that same stock exchange.

Analisis Komparatif Return Saham Dan Volume Perdagangan Saham Sebelum dan Sesudah Harbolnas Pada Perusahaan Dagang Yang Terdaftar Di Bei

2020 ◽  
Vol 17 (2) ◽  
Author(s):  
Devy Putri Milanda ◽  
Taufan Adi Kurniawan
Keyword(s):  
Linear Regression ◽  
Abnormal Return ◽  
Stock Return ◽  
Industrial Revolution ◽  
Online Shopping ◽  
Stock Exchange ◽  
Trade Volume ◽  
Volume Activity ◽  
Significance Level ◽  
Before And After

The industrial revolution resulted in several industries changing their management in order to survive, one of the industries that was affected quite considerably was the trading industry. This study aims to analyze stock return and Trade Volume Activity (TVA) of trading companies in Indonesia Stock Exchange (IDX) before and after Harbolnas (Hari Belanja Online Nasional) or National Online Shopping Days. The samples are all trading companies that have listed on the IDX in the year 2019. This study use multiple linear regression with a significance level of 5%. The results show there are no significant differences in the abnormal return before and after Harbolnas, and there are no significant differences in the TVA before and after the harbolnas

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.

PERBEDAAN FINANCIAL PERFORMANCE PASCA SECONDARY OFFERINGS

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 41-49
Author(s):  
Djaja Perdana ◽  
Herbowo Herbowo
Keyword(s):  
Financial Performance ◽  
Stock Exchange ◽  
Hypothesis Test ◽  
Poor Performance ◽  
Rank Test ◽  
Growth Ratio ◽  
Significant Difference ◽  
Before And After ◽  
Signed Rank Test ◽  
Asset Turnover

This study aims to examine the differences in corporate financial performance before and after secondary offerings. The financial performance is proxied by WCR, DER, Solvency, ROA, ROE, Asset Turnover (ATO) and Growth ratio which representing the value of liquidity, financing, activity, performance and growth of the firm. The study involved 67 samples of the companies listed on the Indonesia Stock Exchange conducting secondary offerings during 2008-2013 period and selected through purposive random sampling method and using Financial Statement data from 2005-2016 period. Hypothesis test is performed using Wilcoxon Signed Rank test. The results of this study indicate that there is no significant difference in the ratio of Solvency, ROA and ROE between before and after secondary offerings, but there are significant differences in the ratio of WCR, DER, Asset Turnover and Growth. WCR ratio after secondary offerings increased, while DER ratio after secondary offerings decreased, the condition of both ratios showed better performance. While the indication of poor performance seen in decreasing asset turnover ratio and growth ratio.Keywords : agency theory, financial performance, secondary offerings

ANALISIS KINERJA KEUANGAN PERUSAHAAN PROPERTI YANG TERDAFTAR DI BEI SEBELUM DAN SESUDAH KEBIJAKAN LOAN TO VALUE

2019 ◽  
Vol 4 (1) ◽  
pp. 79-90
Author(s):  
Ghaniy Ridha Prima ◽  
Hermanto Siregar ◽  
Ferry Syarifuddin
Keyword(s):  
Real Estate ◽  
Financial Performance ◽  
Stock Exchange ◽  
Sample Selection ◽  
Test Analysis ◽  
Asset Return ◽  
Return On Equity ◽  
Analysis Technique ◽  
Significant Difference ◽  
Before And After

The purpose of this study is to provide empirical evidence of the effects of the Loan to Value (LTV) policy on the financial performance of property and real estate companies listed on the Indonesia Stock Exchange (IDX). The sample selection uses a purposive sampling method of 42 property and real estate companies that meet the criteria. The research period is divided into 2 namely before the Loan to Value policy (2013-2014) and after the Loan to Value policy (2016-2017) with the Paired Sample t Test analysis technique. The test results show if the current ratio, Return on Asset, Return on Equity and Debt to Asset have significant differences between before and after the LTV policy is applied. While the fast ratio, cash ratio, net profit margin and Debt to Equity did not show a significant difference. Keywords: Financial Performance, Loan to Value, Property and Real Estate, Profitability Ratio, Liquidity Ratio, Solvability Ratio.

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