scholarly journals The impact of MILA market-maker facility on volatility of the Colombian stock market

2021 ◽  
Vol 32 (86) ◽  
pp. 345-358
Author(s):  
Benedicto Kulwizira Lukanima ◽  
Yuli Paola Gómez-Bravo ◽  
Luis Javier Sanchez-Barrios
Keyword(s):  
Stock Market ◽  
Information Asymmetry ◽  
Risk Premium ◽  
Stock Index ◽  
Market Maker ◽  
Policy Makers ◽  
Portfolio Returns ◽  
Volatility Persistence ◽  
Two Samples ◽  
The Impact

ABSTRACT In 2014, the Colombian Stock Exchange commenced the implementation of its market-maker facility (MMF), aiming at improving market efficiency. This paper examines the impact of the MMF program on three volatility-related aspects: volatility persistence, risk premium, and information asymmetry. This paper provides new insights about the anticipated outcomes of Mercados Integrados Latinoamericanos (MILA) reforms, specifically the MMF on the volatility of the Colombian stock market. This topic has not been fully addressed in the existing literature. This study, therefore, provides useful information for regulators and policy makers, in endeavors to address key issues raised during the World Economic Forum (WEF) of 2016. This paper poses a challenge to policy makers and stock market regulators in Colombia to revisit the reform program and address the factors limiting the effectiveness of market reforms. This paper provides justification for replicating the study to cover other MILA countries due to existing differences in some domestic market policies and structures. The paper employs conditional variance models for measuring volatility persistence, risk premia, and information asymmetry. The models are employed on the COLCAP stock index (Colombia) observed from January 17, 2008 to May 30, 2019. Observations are divided into two samples - pre- and post-MMF. This paper provides evidence of the impacts of the MMF reforms in the Colombian stock market. Specifically, the MMF seems to have an impact on the following aspects: (i) the magnitude in which current returns depend on previous returns has increased; (ii) investment portfolio returns, which are generally low, have declined after the MMF, leading to less risk compensation; (iii) the MMF does not seem to have affected the volatility of market returns and information asymmetry; (iv) volatility persistence increased in magnitude.

scholarly journals Research on Sustainable Development of the Stock Market Based on VIX Index

2018 ◽  
Vol 10 (11) ◽  
pp. 4113
Author(s):  
Lei Ruan
Keyword(s):  
Sustainable Development ◽  
Stock Market ◽  
Financial Markets ◽  
Information Asymmetry ◽  
Stock Index ◽  
Chinese Stock Market ◽  
The Sustainable Development ◽  
Financial Variables ◽  
Dynamic Copula ◽  
The Impact

The frequent occurrence of financial crises has made the dynamic linkage between international financial markets an important research topic. In the past, scholars mostly studied the correlation between financial markets directly, however ignored the impact of exogenous financial variables on financial markets. The stock market is an important part of the financial market and plays an important role in the overall economy. Information asymmetry is common and has a certain degree of impact on investors’ returns. However, many scholars believe that the problem of information asymmetry in China has seriously negatively impacted investors, forming an unsustainable state. At present, there are still many problems in the Chinese stock market, especially the stock market fraud, which brings great challenges to the sustainable development of the stock market. Based on the idea of the STCC model, it is assumed that the Copula parameter is affected by the exogenous variables and the time-varying dynamic Copula model-ST-VCopula model is established. Based on the model, the influence of market volatility (VIX index) on the stock market is explored and then the stock index data of several countries are empirically analyzed. The empirical results show that the VIX index has a significant impact on the linkage between stock markets. The VIX index is easy and more intuitive to obtain, providing another way for the dynamic linkage research between the market, which can provide investors with some guidance and advice when conducting financial activities such as diversification.

scholarly journals Volatility Modeling: An Overview of Equity Markets in the Euro Area during COVID-19 Pandemic

Mathematics ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1212
Author(s):  
Pierdomenico Duttilo ◽  
Stefano Antonio Gattone ◽  
Tonio Di Di Battista
Keyword(s):  
Stock Market ◽  
Euro Area ◽  
Risk Premium ◽  
Stock Markets ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Volatility Modeling ◽  
The Impact ◽  
Second Wave ◽  
Daily Returns

Volatility is the most widespread measure of risk. Volatility modeling allows investors to capture potential losses and investment opportunities. This work aims to examine the impact of the two waves of COVID-19 infections on the return and volatility of the stock market indices of the euro area countries. The study also focuses on other important aspects such as time-varying risk premium and leverage effect. This investigation employed the Threshold GARCH(1,1)-in-Mean model with exogenous dummy variables. Daily returns of the euro area stock markets indices from 4th January 2016 to 31st December 2020 has been used for the analysis. The results reveal that euro area stock markets respond differently to the COVID-19 pandemic. Specifically, the first wave of COVID-19 infections had a notable impact on stock market volatility of euro area countries with middle-large financial centres while the second wave had a significant impact only on stock market volatility of Belgium.

Impact of regulatory announcements on systemic risk in the Indian telecom sector

2018 ◽  
Vol 13 (5) ◽  
pp. 1395-1416 ◽  
Author(s):  
Sushma Priyadarsini Yalla ◽  
Som Sekhar Bhattacharyya ◽  
Karuna Jain
Keyword(s):  
Risk Premium ◽  
Systemic Risk ◽  
Service Providers ◽  
Policy Makers ◽  
Content Type ◽  
Risk Premiums ◽  
Buffering Hypothesis ◽  
Research Findings ◽  
Telecom Sector ◽  
The Impact

Purpose Post 1991, given the advent of liberalization and economic reforms, the Indian telecom sector witnessed a remarkable growth in terms of subscriber base and reduced competitive tariff among the service providers. The purpose of this paper is to estimate the impact of regulatory announcements on systemic risk among the Indian telecom firms. Design/methodology/approach This study employed a two-step methodology to measure the impact of regulatory announcements on systemic risk. In the first step, CAPM along with the Kalman filter was used to estimate the daily β (systemic risk). In the second step, event study methodology was used to assess the impact of regulatory announcements on daily β derived from the first step. Findings The results of this study indicate that regulatory announcements did impact systemic risk among telecom firms. The study also found that regulatory announcements either increased or decreased systemic risk, depending upon the type of regulatory announcements. Further, this study estimated the market-perceived regulatory risk premiums for individual telecom firms. Research limitations/implications The regulatory risk premium was either positive or negative, depending upon the different types of regulatory announcements for the telecom sector firms. Thus, this study contributes to the theory of literature by testing the buffering hypothesis in the context of Indian telecom firms. Practical implications The study findings will be useful for investors and policy-makers to estimate the regulatory risk premium as and when there is an anticipated regulatory announcement in the Indian telecom sector. Originality/value This is one of the first research studies in exploring regulatory risk among the Indian telecom firms. The research findings indicate that regulatory risk does exist in the telecom firms of India.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

scholarly journals Relations and Emotions beyond the Boundaries in the Post Crisis Era – An Analysis of the Impact of Selected Variables on the Indian Stock Market

2018 ◽  
Vol 4 (8) ◽  
pp. 72
Author(s):  
Pooja Yadav ◽  
Nitin Huria
Keyword(s):  
Stock Market ◽  
Global Economy ◽  
Stock Index ◽  
Asia Pacific ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Short Run ◽  
Current Scenario ◽  
Indian Stock Market ◽  
The Impact

From a decade or so Indian continent has become the centre of attraction in the global economies. This changed outlook is due to the fact that India embraces vast availability of resources and opportunities which makes it the most vibrant global economy in the current scenario of worldwide sluggishness. On this path of growth and prosperity India is showing stiff commitments and competitive edges with developed as well as emerging countries. To be more specific, during this voyage in the Asia pacific region recently on one side India has seen stronger bonding with some of its old mates like Japan but on the other part it has faced strain like situation from its stronger competitor contender china on the same time. Hence, in this context the main aim of this paper is to examine the long run and short run equilibrium impacts of Japan and Chinese stock index as well as macroeconomic variables impact on Indian stock market. This paper finds the presence of both long and short run equilibrium impacts from China and Japan to India. In case of Japanese financial market (Nikki 225) has a trivial negative but significant long run impact whereas, the Chinese stock index (SSE composite) is operating at the short run with the same mild negative but significant impact on the Indian stock market. The results of the impact of macroeconomic variables find the existence of long run as well as short run equilibrium from some of the selected variables on Indian stock market.

The Impact of Economic Sentiment, Consumer, Producer and Investor's Confidence Indices on Stock Returns of the Listed Companies in FTSE-20 in Greece

2018 ◽  
pp. 162-209
Author(s):  
Constantine Cantzos ◽  
Petros Kalantonis ◽  
Aristidis Papagrigoriou ◽  
Stefanos Theotokas
Keyword(s):  
Stock Returns ◽  
Risk Premium ◽  
Macroeconomic Variables ◽  
Production Index ◽  
Behavioral Indicators ◽  
Portfolio Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
The Relationship

This chapter examines the relationship between stock returns of companies listed in the FTSE-20 on the Athens Exchange and behavioral indicators. The research is based on the behavioral APT model, which examines stock returns' risk factors through the involvement of macroeconomic variables and behavioral indicators. The data is the closing price of 17 shares listed in the FTSE-20 index, a number of macroeconomic variables, and a series of behavioral indicators for the period of January 2001-December 2014. Regressions were conducted with dependent variable stock returns of a portfolio invested equally in these 17 stocks. In addition, the research tests the existence of long-run and short-run equilibrium and causality. The change in the industrial production index along with the risk premium have a positive and significant impact on the portfolio returns. Johansen's test showed that there is a long-run equilibrium between stock returns, macroeconomic variables, and behavioral indicators. The VECM and VAR models showed that there is not long and short-run causality, not even Granger causality. No similar research has been conducted in Greece, thus it fills a literature gap.

scholarly journals Do mergers and acquisitions affect information asymmetry in the banking sector?

2020 ◽  
Vol 46 (12) ◽  
pp. 1521-1547
Author(s):  
John S. Howe ◽  
Thibaut G. Morillon
Keyword(s):  
Mergers And Acquisitions ◽  
Information Asymmetry ◽  
Design Methodology ◽  
Banking Sector ◽  
Policy Makers ◽  
Content Type ◽  
Deal Completion ◽  
Asymmetry Measures ◽  
The Impact

PurposeThis paper aims to investigate the consequences of mergers and acquisitions (M&As) on information asymmetry in the banking sector. Specifically, the authors look at whether specific firm or deal characteristic influence information asymmetry levels between insiders and investors, as well as the impact of recent regulation such as the Dodd–Frank Act.Design/methodology/approachThe authors decompose the M&A process into three periods (pre-announcement, negotiation and post-completion period) and document changes in the information asymmetry levels between insiders and investors through the M&A process. The authors capture changes in information asymmetry using six different spread-based information asymmetry measures.FindingsThe authors find evidence that information asymmetry increases following M&A announcement and decreases following deal completion. These findings are more pronounced for acquisitions involving a private target, all-cash deals and for mergers, as opposed to acquisition of assets. We find that overall, successful mergers improve the quality of the information environment, while failed deals degrade it. Additionally, the enactment of Dodd–Frank reduced the magnitude of the changes in information asymmetry during the M&A process. The results are important to regulators, policy makers and investors.Originality/valueTo authors’ knowledge, this is the first study that looks at the effect of bank M&As on information asymmetry as well as the effect of regulations on information asymmetry.

Diffusion of crisis signals across the world: evidence from subprime crisis of 2008-2009

2018 ◽  
Vol 13 (2) ◽  
pp. 410-430 ◽  
Author(s):  
Sruthi Rajan ◽  
Shijin Santhakumar
Keyword(s):  
Ordinary Least Squares ◽  
Stock Index ◽  
Subprime Crisis ◽  
Policy Makers ◽  
Content Type ◽  
Crisis Period ◽  
Economic Fundamentals ◽  
The World ◽  
The Impact

Purpose The innovations in fundamentals coupled with noise traders induce co-movement in diverse markets. This co-movement in equity markets which is evidenced higher during the turmoil period influences economic fundamentals of a country dissimilar in nature. The purpose of this paper is to examine whether economic fundamentals or investors’ behavior attributable to disturbances across the world are the rationale behind the crisis transmission, and thereby distinguish fundamental-based contagion from investor-induced contagion. Design/methodology/approach Initially, the study investigates the role of macroeconomic fundamentals and stock returns on crisis occurrence using panel probit estimates. Additionally, ordinary least squares estimates controlling the influence of fundamentals on domestic return capture the discrete country effect measuring the influence of domestic as well as foreign economic fundamentals along with foreign returns on the domestic stock index. Findings The empirical results reveal that foreign country stock index returns are having a significant influence on domestic returns besides a prominent role in crisis occurrence. The binary probit model confirmed the influence of both macroeconomic factors and foreign returns in crisis occurrence. The OLS estimates found evidence for investor-induced contagion in the crisis period where the effects of economic fundamentals are small in comparison to foreign market returns that are mainly dominant in pre- and post-crisis period. Research limitations/implications The propagation of crisis from one market to other would enable the policy makers to make clear regulations at right time to control for the crisis in future. The results can help the policy makers as well as investors in reducing the impact of the crisis in future by clearly monitoring the behavior of the factors under study. Originality/value The current study addresses the role of macro fundamentals and investors influence in crisis propagation. Adopting subprime crisis of 2008-2009 as a reference point and separating the sample period into pre-crisis, crisis and post-crisis period, the study explains how badly the other 30 markets impacted the crisis that emerged in the USA.

scholarly journals The impact of higher education on entrepreneurial intention and human capital

2018 ◽  
Vol 19 (1) ◽  
pp. 135-156 ◽  
Author(s):  
Renato Passaro ◽  
Ivana Quinto ◽  
Antonio Thomas
Keyword(s):  
Higher Education ◽  
Human Capital ◽  
Structural Equation ◽  
Entrepreneurial Intention ◽  
Entrepreneurial Process ◽  
Policy Makers ◽  
Content Type ◽  
Two Samples ◽  
Impact Of Higher Education ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of higher education on the emergence of entrepreneurial intention (EI) and human capital (HC) as a component of intellectual capital (IC) that strongly influences the entrepreneurial process. Design/methodology/approach On the basis of a literature review, a theoretical model that is focused on the theory of planned behaviour was defined to verify the impact of higher education on the development of EI and HC. To this end, the structural equation modelling methodology was applied to two samples of students and academics, which differ each other in terms of both education level and specific characteristics of entrepreneurship education activities. Findings The main results show that there are significant differences between the two considered samples. In particular, the level and specific characteristics of entrepreneurial education are the key factors for the development of EI and HC. Practical implications The research may be of relevance for universities and policy makers. Universities must devote more attention to training and practice-oriented entrepreneurial courses and collateral activities (projects, initiatives, actions), both for students (first mission) and academic aspiring entrepreneurs (third mission) to encourage the emergence of EI and HC formation. For policy makers, this study suggests the need to define policy guidelines and frameworks to support universities’ educational programmes and activities to strengthen the entrepreneurial process, so that they can be consistent with the EU and national entrepreneurship policies. Originality/value This explorative research intends to contribute to the scientific debate by filling the knowledge gap that is due to the very limited number of studies that analyse whether and how EI can mediate the relationship between higher education and HC as an IC component.

scholarly journals Detection of structural regimes and analyzing the impact of crude oil market on Canadian stock market: Markov regime-switching approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammadreza Mahmoudi ◽  
Hana Ghaneei
Keyword(s):  
Stock Market ◽  
Crude Oil ◽  
Stock Return ◽  
Stock Exchange ◽  
Markov Switching ◽  
Stock Index ◽  
Var Model ◽  
Content Type ◽  
Oil Market ◽  
The Impact

Purpose This study aims to analyze the impact of the crude oil market on the Toronto Stock Exchange Index (TSX). Design/methodology/approach The focus is on detecting nonlinear relationship based on monthly data from 1970 to 2021 using Markov-switching vector auto regression (VAR) model. Findings The results indicate that TSX return contains two regimes: positive return (Regime 1), when growth rate of stock index is positive; and negative return (Regime 2), when growth rate of stock index is negative. Moreover, Regime 1 is more volatile than Regime 2. The findings also show the crude oil market has a negative effect on the stock market in Regime 1, while it has a positive effect on the stock market in Regime 2. In addition, the authors can see this effect in Regime 1 more significantly in comparison to Regime 2. Furthermore, two-period lag of oil price decreases stock return in Regime 1, while it increases stock return in Regime 2. Originality/value This study aims to address the effect of oil market fluctuation on TSX index using Markov-switching approach and capture the nonlinearities between them. To the best of the author’s knowledge, this is the first study to assess the effect of the oil market on TSX in different regimes using Markov-switching VAR model. Because Canada is the sixth-largest producer and exporter of oil in the world as well as the TSX as the Canada’s main stock exchange is the tenth-largest stock exchange in the world by market capitalization, this paper’s framework to analyze a nonlinear relationship between oil market and the stock market of Canada helps stock market players like policymakers, institutional investors and private investors to get a better understanding of the real world.

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