scholarly journals Regime Switching in High-Tech ETFs: Idiosyncratic Volatility and Return

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 742
Author(s):  
Laura Arenas ◽  
Ana Maria Gil-Lafuente
Keyword(s):  
Asset Allocation ◽  
Regime Switching ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
High Tech ◽  
Exchange Traded Funds ◽  
High Volatility ◽  
Risk Pricing ◽  
It Revolution ◽  
The Relationship

The volatility of asset returns can be classified into market and firm-specific volatility, otherwise known as idiosyncratic volatility. Idiosyncratic volatility is increasing over time with some literature attributing this to the IT revolution. An understanding of the relationship between idiosyncratic risk and return is indeed relevant for idiosyncratic risk pricing and asset allocation, in a context of emerging technologies. The case of high-tech exchange traded funds (ETFs) is especially interesting, since ETFs introduce new noise to the market due to arbitrage activities and high frequency trading. This article examines the relevance of idiosyncratic risk in explaining the return of nine high-tech ETFs. The Markov regime-switching (MRS) methodology for heteroscedastic regimes has been applied. We found that high-tech ETF returns are negatively related to idiosyncratic risk during the high volatility regime and positively related to idiosyncratic risk during the low volatility regime. These results suggest that idiosyncratic volatility matters in high-tech ETF pricing, and that the effects are driven by volatility regimes, leading to changes across them.

scholarly journals The Regime-Switching Behaviour of Exchange Rates and Frontier Stock Market Prices in Sub-Saharan Africa

2021 ◽  
Vol 14 (3) ◽  
pp. 122
Author(s):  
Maud Korley ◽  
Evangelos Giouvris
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Regime Switching ◽  
Markov Switching ◽  
Sub Saharan Africa ◽  
Var Model ◽  
High Volatility ◽  
Sub Saharan ◽  
The Relationship ◽  
Fx Market

Frontier markets have become increasingly investible, providing diversification opportunities; however, there is very little research (with conflicting results) on the relationship between Foreign Exchange (FX) and frontier stock markets. Understanding this relationship is important for both international investor and policymakers. The Markov-switching Vector Auto Regressive (VAR) model is used to examine the relationship between FX and frontier stock markets. There are two distinct regimes in both the frontier stock market and the FX market: a low-volatility and a high-volatility regime. In contrast with emerging markets characterised by “high volatility/low return”, frontier stock markets provide high (positive) returns in the high-volatility regime. The high-volatility regime is less persistent than the low-volatility regime, contrary to conventional wisdom. The Markov Switching VAR model indicates that the relationship between the FX market and the stock market is regime-dependent. Changes in the stock market have a significant impact on the FX market during both normal (calm) and crisis (turbulent) periods. However, the reverse effect is weak or nonexistent. The stock-oriented model is the prevalent model for Sub-Saharan African (SSA) countries. Irrespective of the regime, there is no relationship between the stock market and the FX market in Cote d’Ivoire. Our results are robust in model selection and degree of comovement.

scholarly journals Idiosyncratic Risk and Firm Characteristics on Islamic Stocks of Four Asean Countries 2005–2017

2021 ◽  
Vol 21 (3) ◽  
pp. 1226-1238
Author(s):  
Putri Utami ◽  
Muhammad Budi Prasetyo
Keyword(s):  
Panel Data ◽  
Global Financial Crisis ◽  
The United States ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Firm Characteristics ◽  
Panel Data Regression ◽  
Data Regression ◽  
Asean Countries ◽  
The Relationship

This research investigates idiosyncratic volatility in the Islamic stock of four ASEAN countries, namely Indonesia, Malaysia, Singapore, and Thailand for 2005–2017. The volatility will be analyzed based on the idiosyncratic volatility levels of each country. Furthermore, firm characteristics will be used to determine their relationship to the idiosyncratic volatility movement. This study used the Fama-French Three-Factor model for obtaining the realized value of idiosyncratic volatility. Furthermore, a panel data regression is used to estimate the relationship between firm characteristics and idiosyncratic volatility. The results of this research suggest that mean value of idiosyncratic risk in the Islamic stock of ASEAN countries is below the non-Islamic stock in the United States but above non-Islamic stock in Hong Kong. Meanwhile, after the global financial crisis of 2008, the relationship between return and idiosyncratic risk of Islamic stock changed in all four countries. Panel data regression of firm characteristics shows that firm size is significantly negative in all four countries, while share turnover is insignificant to idiosyncratic volatility.

On ethnicity of idiosyncratic risk and stock returns puzzle

Humanomics ◽  
2016 ◽  
Vol 32 (1) ◽  
pp. 48-68 ◽  
Author(s):  
Naseem Al Rahahleh ◽  
Iman Adeinat ◽  
Ishaq Bhatti
Keyword(s):  
Stock Returns ◽  
Financial Crises ◽  
Factor Model ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Content Type ◽  
Country Level ◽  
Expected Stock Returns ◽  
The Relationship ◽  
Three Factor

Purpose – The purpose of this paper is to understand the controversial issue of whether stock returns and idiosyncratic risks are related positively or negatively in case of Singaporean ethically poor screened stocks. Design/methodology/approach – To achieve the major objectives of this paper, it uses a multiple regression to explore the relationship between expected stock returns and idiosyncratic risk. The paper replicates the Lee and Faff’s (2009) three-factor capital asset-pricing model (CAPM) model in creating the six size/book-to-market portfolios from which it constructs the small minus big (SMB) and high minus low (HML) portfolios that capture the size and book-to-market equity factors, respectively. Findings – The basic finding of the paper is that there is a strong relation between idiosyncratic risk and the expected stock returns. In more details, we observe that the portfolio of stocks with the highest idiosyncratic volatility generates higher average returns (4.36 per cent) than the portfolio of stocks with the lowest idiosyncratic volatility (0.79 per cent) over the sample period. The paper observes that the stock’s idiosyncratic volatility is inversely correlated with the size of the underlying firm. Moreover, there is a pattern of relationships nearer the periods of financial crises: Asian and global financial crises. Research limitations/implications – This paper uses only a three-factor model on a single country. So it cannot be generalized to a multi-country level in the Association of Southeast Asian Nations (ASEAN) region, as the structure of each member country is different. Practical implications – This paper provides guidelines for policymakers and foreign investors in Singapore about the relationship. This research can also be extended to other ASEAN countries to understand this puzzle. Social implications – Ethically sensitive and faithful investors with small investment can benefit from the findings of this paper. Originality/value – The work reported in this paper is original, unpublished and is also not under consideration for publication elsewhere.

scholarly journals Accelerating Green Innovation Performance from the Relations of Network Potential, Absorptive Capacity, and Environmental Turbulence

2021 ◽  
Vol 13 (14) ◽  
pp. 7765
Author(s):  
Shuizheng Song ◽  
Md Altab Hossin ◽  
Xiaohua Yin ◽  
Md Sajjad Hosain
Keyword(s):  
Sustainable Development ◽  
Absorptive Capacity ◽  
Bootstrap Method ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Mediation Effect ◽  
Environmental Turbulence ◽  
High Tech ◽  
Green Innovation ◽  
The Relationship

The demand for sustainable development and the advantages of industries are expediting over time with the triggering of green innovation performance (GIP). Improving a firm’s GIP, especially in manufacturing industries, can accelerate green development and mitigate the global-concerned environmental issues. Thus, to investigate GIP from its antecedent factors, we delineate the relationship between network potential, absorptive capacity, environmental turbulence, and GIP based on social network theory, organizational learning theory, and contingency theory. We tested our hypotheses based on 233 sets of questionnaire surveys from high-tech manufacturing firms in China through deploying the hierarchical regression and bootstrap method. Our empirical findings reveal that the network potential dimensions, including network position centrality (NPC), network structure richness (NSR), and network relationship closeness (NRC), significantly positively impacted the GIP. The absorptive capacity (AC) partially mediated the relationship between the network potential dimensions and GIP. Environmental turbulence (ET) as an essential mechanism not only positively moderated the relationship between AC and GIP but also enhanced the AC mediation effect. These findings indicate that manufacturing firms should continue to improve network potential and AC and respond rapidly to changes in the external environment to enhance GIP, consequently contributing to the sustainable development of the economy.

scholarly journals The Influence of R&D Intensity on Financial Performance: The Mediating Role of Human Capital in the Semiconductor Industry in Taiwan

2020 ◽  
Vol 12 (12) ◽  
pp. 5128
Author(s):  
Tsung-Chun Chen ◽  
Yenchun Jim Wu
Keyword(s):  
Human Capital ◽  
Financial Performance ◽  
Capital Investment ◽  
Performance Metrics ◽  
Intangible Assets ◽  
Semiconductor Industry ◽  
Value Added ◽  
Positive Influence ◽  
High Tech ◽  
The Relationship

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.

What Drove the Increase in Idiosyncratic Volatility during the Internet Boom?

2010 ◽  
Vol 45 (5) ◽  
pp. 1253-1278 ◽  
Author(s):  
Jason Fink ◽  
Kristin E. Fink ◽  
Gustavo Grullon ◽  
James P. Weston
Keyword(s):  
Investor Sentiment ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
The Internet ◽  
Present Evidence ◽  
Public Firms ◽  
Specific Risk ◽  
Increasing Trend ◽  
Public Firm ◽  
Firm Maturity

AbstractAggregate idiosyncratic volatility spiked nearly fivefold during the Internet boom of the late 1990s, dwarfing in magnitude a moderately increasing trend. While some researchers argue that this rise in idiosyncratic risk was the result of changes in the characteristics of public firms, others argue that it was driven by the changing sentiment of irrational traders. We present evidence that the marketwide decline in maturity of the typical public firm can explain most of the increase in firm-specific risk during the Internet boom. Controlling for firm maturity, we find no evidence that investor sentiment drives idiosyncratic risk throughout the Internet boom.

Job Satisfaction as a Mediator in the Relationship Between Performance Appraisal and Voice Behavior

2014 ◽  
Vol 42 (8) ◽  
pp. 1315-1323 ◽  
Author(s):  
Xu Zhang ◽  
Bei Hu ◽  
Min Qiu
Keyword(s):  
Job Satisfaction ◽  
Performance Appraisal ◽  
Positive Impact ◽  
Industrial Clusters ◽  
Positive Influence ◽  
Mediating Effect ◽  
High Tech ◽  
Voice Behavior ◽  
Mediating Role ◽  
The Relationship

We explored the mediating effect of job satisfaction in the relationship between employees' performance appraisal and their voice behavior. A questionnaire was administered to 864 employees at enterprises representing high-tech industrial clusters from 5 cities in China. Developmental performance appraisal was found to have a more positive influence on employees' voice behavior than evaluative performance appraisal did. Compared with prohibitive voice behavior, both developmental and evaluative types of performance appraisal had a more positive impact on promotive voice behavior, and job satisfaction was found to play a mediating role in the relationship between these variables.

INTERCONNECTION BETWEEN GLOBAL SUPPLY CHAINS AND INDUSTRY

2021 ◽  
pp. 6-11
Author(s):  
Alexander N. Bryntsev ◽  
◽  
M.A. Bykova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Supply Chains ◽  
Automotive Industry ◽  
Industrial Production ◽  
High Tech ◽  
Global Supply Chains ◽  
Global Competition ◽  
Macroeconomic Analysis ◽  
The Relationship

In the article, the authors consider the issues of the relationship between global supply chains and industrial production of semiconductors in modern conditions. Particular attention is paid to the applied value of the application of artificial intelligence technologies in industry in the light of the growth of global competition. Their specific features, strengths and weaknesses are shown. A brief macroeconomic analysis of the development of markets for robotics, the automotive industry, high-tech products, as well as modern regulations on the eve of a new technological order is given.

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