Perception of past portfolio returns, optimism and financial decisions

2017 ◽  
Vol 9 (1) ◽  
pp. 79-98 ◽  
Author(s):  
Mohammad Tariqul Islam Khan ◽  
Siow-Hooi Tan ◽  
Lee-Lee Chong
Keyword(s):  
Institutional Investors ◽  
Decision Process ◽  
Least Square ◽  
Special Focus ◽  
Data Set ◽  
Content Type ◽  
Financial Decisions ◽  
Portfolio Returns ◽  
Retail Investors ◽  
Ordinary Least Square Regression

Purpose The purpose of this paper is to examine the relationships among perception of past portfolio returns, optimism and financial decisions. Design/methodology/approach The relationships are examined using a data set of both retail and institutional investors in Malaysia and estimated using ordinary least square regression. Findings The results demonstrate that perception of past portfolio returns influences both retail and institutional investors’ trading and risk taking. Optimism measured as relative investment optimism and personal investment optimism similarly influences both groups of investors’ financial decisions. However, perception of past portfolio returns causes only retail investors to exhibit optimism. The results furthermore show that only for retail investors perception of past portfolio returns indirectly influences financial decisions, through the mediating channel of optimism. Practical implications The findings on the influences of perception of past portfolio returns and the mediating channel in decision process help to understand the differences between retail and institutional investors. Retail investors are found to be more susceptible to optimism. Therefore, regulators in Malaysia may enhance their initiatives by incorporating the peril of forming optimistic expectations in financial decisions, by giving special focus on retail investors. Originality/value This paper focuses on investors’ perception of past portfolio returns and its influence on various financial decisions, unlike past portfolio returns or market returns. Also, this paper is among the first to demonstrate the mediating channel of optimism in investors’ decision process.

Price premium of private placement: evidence from India

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Supriya Katti ◽  
Naval Verma ◽  
B.V. Phani ◽  
Chinmoy Ghosh
Keyword(s):  
Emerging Market ◽  
Least Square ◽  
Price Premium ◽  
Group Affiliation ◽  
Data Set ◽  
Content Type ◽  
Equity Issues ◽  
Private Placement ◽  
Ordinary Least Square Regression ◽  
Binary Probit

PurposeThis study identifies the factors responsible for obtaining price premium on privately placed equity in a developing market.Design/methodology/approachWe examine a unique data set of a special case of private placement of equity, Qualified Institutional Placement (QIP) in India purchased at a premium. The study analyzed 188 equity issues offered between September 2006 and December 2014. On average, we find that QIP issues received a price premium of 4.38%. The study employed binary probit and ordinary least square regression models to analyze the probability and magnitude of the premium.FindingsThe study attributes the price premium of QIP to certification effect through group affiliation, signaling through promoters' ownership and monitoring effect through existing institutional investors. These factors influence the probability of premium for QIP issues. However, group affiliation and institutional ownership do not significantly influence the magnitude of the premium.Originality/valueThe private placement of equity is usually offered at a discount. Our findings contribute to the existing literature by evaluating the premium obtained on private placement as a unique scenario in emerging market supported through certification hypothesis, monitoring hypothesis and signaling.

scholarly journals Multilingual and multicultural managers’ effects on team performance: insights from professional football teams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mike Szymanski ◽  
Ilan Alon ◽  
Komal Kalra
Keyword(s):  
Team Performance ◽  
Individual Characteristics ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Ordinary Least Square ◽  
Multilingual Communication ◽  
Two Samples ◽  
Diverse Environment ◽  
Ordinary Least Square Regression

Purpose In this study, micro-foundations of strategy as the theoretical framework to study the effect of managers’ individual characteristics on multinational team performance are adopted. In particular, the purpose of this paper is to study managers’ multilingual communication abilities and multicultural background, and their role in, respectively, effectively reconfiguring team human assets and sensing cognitively distant opportunities and threats. Design/methodology/approach This study uses national football teams competing in national and international competitions and their coaches’ characteristics as the data set to test the theory. Using random coefficient modeling and ordinary least square regression, this paper analyzes two samples of 222 and 79 teams and found that both these characteristics contribute to team performance; however, their effects differ depending on the team environment. Findings Multicultural managers contribute positively to team performance only when the team is operating in a highly diverse environment, their effect is not statistically significant in homogeneous environments. In less diverse environments, it is the multilingual manager who can improve team performance through more efficient communication and greater effects of leadership on the team. Originality/value Managers’ characteristics such as their multicultural background and multilingual capabilities affect team performance. In particular, these effects come into play in highly diverse and international settings. Micro-foundation literature is advised to focus on the internationalization and multicultural backgrounds of managers as a precursor for organizational international performance.

Do the calendar anomalies still exist? Evidence from Indian currency market

2016 ◽  
Vol 42 (2) ◽  
pp. 136-150 ◽  
Author(s):  
Satish Kumar ◽  
Rajesh Pathak
Keyword(s):  
Least Square ◽  
January Effect ◽  
Currency Markets ◽  
Content Type ◽  
Currency Market ◽  
Before And After ◽  
Calendar Anomalies ◽  
Ordinary Least Square Regression ◽  
The 2008 Financial Crisis ◽  
Using Data

Purpose – The purpose of this paper is to examine the presence of the day-of-the-week (DOW) and January effect in the Indian currency market for selected currency pairs; USD-(Indian rupee) INR, EUR-INR, GBP-INR and JPY-INR, from January, 1999 to December, 2014. Design/methodology/approach – Ordinary least square regression analysis is used to examine the presence of DOW and January effect to test the efficiency of the Indian currency market. The sample period is later divided into two sub-periods, that is, pre- and post-2008 to capture the behavior of returns before and after the 2008 financial crisis. Further, the authors also use the non-parametric technique, the Kruskal-Wallis test, to provide robustness check for the results. Findings – The results indicate that the returns during Monday to Wednesday are positive and higher than the returns on Thursday and Friday which show negative returns. The returns during January are found to be higher than the returns during rest of the year. Further, all currencies exhibit significant DOW and January effects in pre-crisis period, however, post-crisis; these effects disappear for all currencies indicating that the markets have become more efficient in the later time. The findings can be further attributed to the increased intervention in the forex markets by the Reserve Bank of India after the crisis. Practical implications – The results have important implications for both traders and investors. The findings suggest that the investors might not be able to earn excess profits by timing their positions in some particular currencies taking the advantage of DOW or January effect which in turn indicates that the currency markets have become more efficient with time. The results are in conformity with those reported for the developed markets. The results might be appealing to the practitioners as well in a way that they can consider the state of financial market for financial decision making. Originality/value – The authors provide the first study to examine the calendar anomalies (DOW and January effect) across a range of emerging currencies using 16 years of data from January, 1999 to December, 2014. To the best of the authors’ knowledge, no study has yet examined these calendar anomalies in the currency markets using data which covers two important periods, pre-2008 and post-2008.

Tacit knowledge transfer in coopetition

2017 ◽  
Vol 10 (4) ◽  
pp. 453-468 ◽  
Author(s):  
Amit Kumar ◽  
Swarup Kumar Dutta
Keyword(s):  
Knowledge Transfer ◽  
Tacit Knowledge ◽  
Least Square ◽  
Service Firms ◽  
Content Type ◽  
Ordinary Least Square ◽  
Tacit Knowledge Transfer ◽  
Potential Benefits ◽  
Ordinary Least Square Regression ◽  
Empirical Context

Purpose The purpose of this paper is to understand how firms affiliated to business groups (BGs) are able to improve their innovation capability (IC) when engaged in coopetition (collaboration between competing firms). This study aims to explore the relationship between coopetitive relationship strength (CRS), the extent of tacit knowledge transfer (TKT) and IC as well as examine the moderating effect of both BG affiliation and coopetitive experience. Design/methodology/approach The paper examines inter-firm relationships within the empirical context of Indian manufacturing and service firms, by adopting (ordinary least square) regression analysis to test the various hypotheses. The central thesis is that the TKT in coopetition constitutes an important driver to the IC. Findings The paper provides some evidence that inter-firm CRS influences the extent of TKT, and the extent of TKT affects firm IC. The results support that firms in coopetition gain more if their coopetitive partner has a BG affiliation. In absence of a BG affiliation of any of the coopetitive partners, the buildup of TKT reduces as CRS is increased. Research limitations/implications Additional large-sample of data may attempt to validate relationships. The study, however, did not consider all enablers that are critical for TKT. Despite these limitations, analysis provides important and novel perspectives. Practical implications The paper contributes to develop executives’ practices in understanding potential benefits of coopetitive relationship. The implications of this research are important for managers seeking understanding of the management of coopetition. Originality/value The paper makes a modest attempt to investigate the various scenarios of the presence or absence of the moderation of BGs and its impact on CRS in the buildup of TKT. This is the first attempt to link coopetition to the TKT in the BG literature. This study also contributes to our understanding of coopetition in a non-western context.

Information search in times of market uncertainty: an examination of aggregate and disaggregate uncertainty

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marshall A. Geiger ◽  
Rajib Hasan ◽  
Abdullah Kumas ◽  
Joyce van der Laan Smith
Keyword(s):  
Information Search ◽  
Institutional Investors ◽  
Volume Index ◽  
Individual Investor ◽  
Market Uncertainty ◽  
Data Set ◽  
Current Time ◽  
Content Type ◽  
Information Demand ◽  
Google Search

PurposeThis study explores the association between individual investor information demand and two measures of market uncertainty – aggregate market uncertainty and disaggregate industry-specific market uncertainty. It extends the literature by being the first to empirically examine investor information demand and disaggregate market uncertainty.Design/methodology/approachThis paper constructs a measure of information search by using the Google Search Volume Index and computes measures of aggregate and disaggregate market uncertainty using institutional investors' trading data from Ancerno Ltd. The relation between market uncertainty, as measured by trading disagreements among institutional investors, and information search is analyzed using an OLS (Ordinary Least Squares) regression model.FindingsThis paper finds that individual investor information demand is significantly and positively correlated with aggregate market uncertainty but not associated with disaggregated industry uncertainty. The findings suggest that individual investors may not fully incorporate all relevant uncertainty information and that ambiguity-related market pricing anomalies may be more associated with disaggregate market uncertainty.Research limitations/implicationsThis study presents an examination of aggregate and disaggregate measures of market uncertainty and individual investor demand for information, shedding light on the efficiency of the market in incorporating information. A limitation of our study is that our data for market uncertainty is based on investor trading disagreement from Ancerno, Ltd. which is only available till 2011. However, we believe the implications are generalizable to the current time period.Practical implicationsThis study provides the first concurrent empirical assessment of investor information search and aggregate and disaggregate market uncertainty. Prior research has separately examined information demand in these two types of market uncertainty. Thus, this study provides information to investors regarding the importance of assessing disaggregate component measures of the market.Originality/valueThis paper is the first to empirically examine investor information search and disaggregate market uncertainty. It also employs a unique data set and method to determine disaggregate, and aggregate, market uncertainty.

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

From managing customers to joint venturing with customers: co-creating service value in the digital age

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christine Falkenreck ◽  
Ralf Wagner
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Business Models ◽  
Joint Venture ◽  
Digital Age ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Data Set ◽  
Content Type

Purpose Until today, scholars claim that the phenomenon of “co-creation” of value in an “interacted” economy and in the context of positive actor-to-actor relationships has not been adequately explored. This study aims to first to identify and separate the accessible values of internet of things (IoT)-based business models for business-to-business (B2B) and business-to-government (B2G) customer groups. It quantifies the drivers to successfully implement disruptive business models. Design/methodology/approach Data were gathered from 292 customers in Western Europe. The conceptual framework was tested using partial least square structural equation modeling. Findings Managing disruptions in the digital age is closely related to the fact that the existing trust in buyer-seller relationships is not enough to accept IoT projects. A company’s digitalization capabilities, satisfaction with the existing relationship and trust in the IoT credibility of the manufacturer drives the perceived value of IoT-based business models in B2B settings. Contrastingly, in B2G settings, money is less important. Research limitations/implications Research refers to one business field, the data set is of European origin only. Findings indicate that the drivers to engage in IoT-related projects differ significantly between the customer groups and therefore require different marketing management strategies. Saving time today is more important to B2G buyers than saving money. Practical implications The disparate nature of B2B and B2G buyers indicates that market segmentation and targeted marketing must be considered before joint-venturing in IoT business models. To joint venture supply chain partners co-creating value in the context of IoT-related business models, relationship management should be focused with buyers on the same footing, as active players and co-developers of a personalized experience in digital service projects. Originality/value Diverging from established studies focusing on the relationship within a network of actors, this study defines disruptive business models and identifies its drivers in B2B and B2G relationships. This study proposes joint venturing with B2B and B2G customers to overcome the perceived risk of these IoT-related business models. Including customers in platforms and networks may lead to the co-creation of value in joint IoT projects.

scholarly journals Board structure and institutional ownership at the time of IPO

2017 ◽  
Vol 43 (9) ◽  
pp. 950-965 ◽  
Author(s):  
Suman Neupane ◽  
Biwesh Neupane
Keyword(s):  
Institutional Investors ◽  
Critical Time ◽  
Institutional Ownership ◽  
Board Independence ◽  
Board Structure ◽  
Data Set ◽  
Content Type ◽  
Institutional Holdings ◽  
Foreign Institutional Investors ◽  
The Impact

Purpose The purpose of this paper is to examine the impact of mandatory regulatory provisions on board structure and the influence of such board structure on institutional holdings. Design/methodology/approach The study uses unique hand-collected data set of Indian IPOs during the 2004-2012 period after the corporate governance reforms with the introduction of clause 49 in the listing agreements in 2001. Using OLS regression, the paper empirically analyses the determinants of board size and board independence at the time of the IPOs and the influence of such a board structure on shareholdings by domestic and foreign institutional investors. Findings The authors find that complying with mandatory regulatory provisions does not impede firms from structuring their boards to reflect the firms’ advising and monitoring needs. The authors also find that complying with provisions have positive implication for the firm, as firms with greater board independence appear to attract more foreign institutional investors. Originality/value To the authors’ best knowledge, this is the first study to examine the issue in a regime where regulation mandates the composition of the board of directors. The paper also extends the literature on institutional holdings by providing evidence on the impact of board structure on institutional ownership at a critical time in a firm’s life cycle when concerns for endogeneity for empirical investigations are weaker.

Determinates of Islamic banks liquidity

2020 ◽  
Vol 11 (8) ◽  
pp. 1619-1632
Author(s):  
Ahmad Al-Harbi
Keyword(s):  
Monetary Policy ◽  
Deposit Insurance ◽  
Fixed Effect Model ◽  
Least Square ◽  
Data Set ◽  
Content Type ◽  
Effect Model ◽  
Ratio Size ◽  
Cross Country ◽  
The One

Purpose The purpose of this paper is to investigate the determinants of Islam banks (IBs) liquidity. Design/methodology/approach In this paper, the author uses a generalized least square fixed effect model on an unbalanced panel data set of all IBs operating in the Organization of Islamic Cooperation countries over the period 1989-2008. Findings The estimation results show that all the determinants have statistically significant relationships with IBs’ liquidity but with different signs. On the one hand, foreign ownership, credit risk, profitability, inflation rate, monetary policy and deposit insurance negatively affected IBs liquidity. On the other hand, capital ratio, size gross domestic product growth and concentration have a positive nexus with IBs’ liquidity. Originality/value According to the best of the author’s knowledge, this is the first empirical study to investigate the determinants of IBs liquidity using cross-country data with a large sample of IBs (110 banks) and over a long period (19 years). Also, the paper included variables that had not been discussed on the previous studies, which used cross-country data, such as efficiency, deposit insurance, monetary policy, concentration and market capitalization.

Impact of occupational migration of unskilled labourer from domestic agriculture on farm business income in source households of Assam, India

2020 ◽  
Vol 47 (12) ◽  
pp. 1561-1576
Author(s):  
Bodrul Islam ◽  
Pradyut Guha
Keyword(s):  
Strong Predictor ◽  
Least Square ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Brahmaputra Valley ◽  
Business Income ◽  
Farm Business ◽  
On Farm ◽  
Unskilled Labourer

PurposeThe present study aims at examining the determinants of occupational migration of unskilled labourer from domestic agriculture and their impact on farm business income (FBI) in Assam, India.Design/methodology/approachPrimary data for this study were collected during June–November, 2019 from 224 farm (cultivator) households in two contiguous districts in central Brahmaputra valley of Assam. The study used three-stage least square (3SLS) estimation technique for jointly determining the factors influencing migration and remittances and their impact on FBI.FindingsThe result of this study confirms that occupational migration of unskilled labourer from domestic agriculture significantly reduced household FBI. In contrast to the inflow of remittances from migrants helped in increasing the FBI. The migration in the study area considerably influenced by household size, total value of assets holding, networking influence, distance to commercial bank and flood proneness of the village; while the number of migrants, number of dependents and age of migrants seen to be strong predictor of inflow of remittances. Findings of present study offer evidence in support of the new economics of labour migration (NELM) theory.Research limitations/implicationsThe study is restricted to a single crop (paddy) and constrained by the collection of longitudinal data with a revisit to the farm household pre and post-migration of the unskilled labourer from household agriculture.Originality/valueThis paper is based on a novel data set that has especially been collected to examine the determinants of occupational migration from agriculture and their impact on the FBI in Assam that has not been studied before.

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