Search results

Several studies have examined the impact of market fundamentals on house prices. However, the effect of economic sectors on housing prices is limited despite the existence of two-speed economies in some countries, such as South Africa. Therefore, this study aims to examine the impact of mining activities on house prices. This intends to understand the direction of house price spreads and their duration so policymakers can provide remediation to the housing market disturbance swiftly.

This study investigated the effect of mining activities on house prices in South Africa, using quarterly data from 2000Q1 to 2019Q1 and deploying an auto-regressive distributed lag model.

In the short run, we found that changes in mining activities, as measured by the contribution of this sector to gross domestic product, impact the housing price of mining towns directly after the first quarter and after the second quarter in the non-mining cities. Second, we found that inflationary pressure is instantaneous and impacts house prices in mining towns only in the short run but not in the long run, while increasing housing supply will help cushion house prices in both submarkets. This study extended the analysis by examining a possible spillover in house prices between mining and non-mining towns. This study found evidence of spillover in housing prices from mining towns to non-mining towns without any reciprocity. In the long run, a mortgage lending rate and housing supply are significant, while all the explanatory variables in the non-mining towns are insignificant.

These results reveal that enhanced mining activities will increase housing prices in mining towns after the first quarter, which is expected to spill over to non-mining towns in the next quarter. These findings will inform housing policymakers about stabilising the housing market in mining and non-mining towns. To the best of the authors’ knowledge, this study is the first to measure the contribution of mining to house price spillover.

Extant studies in entrepreneurship have explored factors that influence the birth and growth of start-up firms; however, there appears to be a dearth of studies examining the influence of founders' ambidextrous orientation on start-ups' success, especially their speed of attaining the coveted status of a “unicorn start-up” – which is considered a mega success in practice. This study examines whether and how founding teams’ collective ambidextrous orientation influences their respective start-ups’ pace of becoming a “unicorn”.

This study empirically analyses 220 interviews by the founders of 83 Indian unicorns in examining the influence of the founding teams’ collective exploration-exploitation capability on their firms' speed to achieve the “unicorn” status. The Cox Hazard model was used to test the hypothesized relationships, and linear ordinary least squares (OLS) regression was used to test the robustness of the results.

The authors find a strong positive relationship between founding teams’ ambidextrous skills and the speed of becoming a unicorn. The study results suggest that the founding teams’ collective exploratory skills may be more influential in their start-up’s speed to unicorn status vis-à-vis their exploitative skills.

This study finds that the founding teams’ ambidextrous orientation and exploratory skills accelerate their start-up’s speed to becoming a unicorn, contributing to the academic discourse on the “unicorn” phenomenon, which is widely acknowledged as a grand success status for start-ups—especially technology and venture capital funded start-ups—among the practitioners. This study contributes to the academic discourse on firm capabilities and founding-team-related antecedents of start-up success by raising a new dimension of the founding team’s ambidextrous orientation.

The study investigates the impact of various factors on the number of active investors in digital health startups. Through nine hypotheses, we examine the influence of metrics such as patents, online presence, financial aspects and company valuation on investor interest. The results reveal positive associations between these metrics and investor numbers, highlighting their role in signaling strength and attracting investment. This research enhances the understanding of investor valuation in digital health startups, emphasizing the importance of credible signals for building trust and securing funding. However, we acknowledge limitations in data analysis methods and suggest future research to explore industry signals, longitudinal trends and failed startups for comprehensive insights.

This study delves into the design methodology and approach, aiming to fill gaps in understanding investor roles in valuing digital health ventures. We focus on deciphering factors driving valuations for these startups to secure growth financing. Using signaling theory, we investigate how entrepreneurs communicate their latent strengths to bridge information gaps, aiding investment decisions. We analyze a sample of 482 healthcare startups from the Pitchbook database using Poisson regression in SPSS.

This research sheds light on the factors driving investor interest in digital health startups. Despite the critical role of entrepreneurs in patient care innovations, the relationship between investor characteristics and funding for digital health technologies still needs exploration. We examine factors influencing investor valuation in healthcare startups and identify patents, social followers and financial disclosures as pivotal elements shaping investor interest. The findings show that all factors for active investors are significant for all variables except similar unique visitors.

These results significantly enhance our understanding of investor decision-making in digital health startups. They confirm the importance of various signals, like patent activity, online presence and financial performance, in attracting investor attention. We utilize unique data sources, offering insights into investors' behavior across different funding stages. In conclusion, these findings underscore investors' crucial role in the growth and funding of healthcare tech startups, emphasizing the need for robust signals to attract investment.

This paper investigates gender disparity in investment decisions within the popular American TV show Shark Tank.

The research uses a comprehensive dataset of 925 pitches from 14 seasons and 316 episodes, covering August 2009 to May 2023.

Contrary to previous studies, the findings indicate that female entrepreneurs do n'ot face discrimination in terms of their pitching success rates, regardless of their industry affiliation. However, the authors did observe that female entrepreneurs tend to receive lower valuations, both self-assessed and in final deals. This suggests a self-imposed gender gap in venture capital and angel investing, likely stemming from lower entrepreneurial aspirations among women.

To tackle this issue, the authors propose promoting female venture capital by increasing the representation of female entrepreneurs and business angels on Shark Tank. Such role models can inspire aspiring women in these fields. Additionally, the authors believe that mixed-gender founder teams, comprising both men and women, can play a significant role in developing promising startups with viable business models.

The purpose of this paper is to analyse five biases in the valuation of financial investments using a mental time travel framework involving thought investments – with no objective time passing.

An investment’s initial value, together with any periodic funding cash-flows, are mentally projected forward (at an expected rate of return) to give the value at the investment horizon; and this projected value is mentally discounted back to the present. If there is a difference between the initial and present values, then this can imply a bias in valuation.

The study identifies (and gives examples of) five real-world valuation biases: biased funding cash-flow estimates (e.g., mega infrastructure projects); biased rate of return projections (e.g., market crises, tech stock carve-outs); biased discount rate estimates (e.g., dual-listed shares, dual-class shares, short-termism, time-risk misperception, and long-termism); time-duration misestimation or perception bias when projecting (e.g., time-contracted projections which lead to short-termism); and time-duration misestimation or perception bias when discounting (e.g., time-extended discounting which also leads to short-termism). More than one bias can be operating at the same time and we give an example of low levels of retirement savings being the result of the biased discounting of biased projections. Finally, we consider the effects of the different biases of different agents operating simultaneously.

The paper examines key systematic misestimation and psychological biases underlying financial investment valuation pricing anomalies.

This paper investigates the relationship between sporting performance and the market value of European football clubs, with a particular focus on the moderating effect of player transfers, fan engagement and coaching changes.

Using a Cross-Sectional Augmented Auto Regressive Distributed Lagged Model (CS-ARDL), we analyze a decade of data (2013–2023) from fourteen prominent clubs across ten European leagues.

Our findings confirm a strong positive correlation between sporting performance and market value in European football clubs. Furthermore, the research reveals that strategic player transfers and high fan engagement significantly amplify the positive impact of on-field success on a club's valuation. Interestingly, coaching changes do not exhibit a significant moderating effect on this relationship.

These findings carry significant economic implications for the football industry, underscoring sporting success as not only a driver of economic growth and social development but also a vital source of funding for clubs seeking to further invest in talent, infrastructure and fan engagement initiatives.

This study makes a novel contribution to the existing literature by providing a comprehensive analysis of the intricate relationship between sporting performance, market value and the moderating roles of player transfers, fan engagement and coaching changes within the European football landscape. Moreover, the research offers unique insights into investor behavior and the factors influencing investment decisions, enriching our understanding of the complex dynamics driving the football market.

Interest in environmental, social and governance (ESG) controversies is acquiring great relevance in the business and academic communities. Nonetheless, previous studies in the area have devoted little attention to how the market views ESG controversies. Against this backdrop, this paper aims to investigate whether ESG controversies are value-relevant to investors, as reflected in equity values. It also investigates whether top management team (TMT) gender diversity is likely to affect the association between ESG controversies and equity market values in the context of high-tech firms.

This paper uses a sample of high-tech firms listed on the STOXX 600 index during the period 2006–2022. The ESG data for the sample is retrieved from the Refinitiv Eikon database. This paper adopts a fixed-effect panel regression to test the hypotheses.

Based on the Ohlson’s (1995) valuation framework, the authors find evidence that ESG controversies are associated with a lower market valuation, suggesting that shareholders perceive ESG controversies as conveying negative information about future performance. The authors also find evidence that TMT gender diversity negatively moderates the relationship between ESG controversies and equity values, indicating that TMT gender diversity alleviates the detrimental effect of corporate controversies. These results remain consistent when using the return model of Easton and Harris (1991).

This paper throws more light on the economic consequences of ESG controversies in European high-tech firms. This is particularly important due to the increasing importance of ESG criteria in guiding investment choices. This paper also adds to the current literature by providing new evidence that the value-relevance of ESG controversies is affected by TMT gender diversity.

This study aims to outline the research field of initial public offerings (IPOs) pricing and performance by combining bibliometric analysis with a systematic literature review process.

The study uses over three decades of IPO publication records (1989–2020) from Scopus and Web of Science databases. An analysis of keyword co-occurrence and bibliometric coupling was used to gain insights into the evolution of IPO literature.

The study categorized the IPO research field into four primary clusters: IPO pricing and short-run behaviour, IPO performance and influence of intermediaries, venture capital financing and top management and political affiliations and litigation risks. The results offer a framework for delineating research advancements at different stages of IPOs and illustrate the growing interest of researchers in IPOs in recent years. The study identified future research potential in the areas of corporate governance, earning management and investor sentiments related to IPO performance. Similarly, the study highlighted the opportunity to test multiple theoretical frameworks on alternative investment platforms (SME IPO platforms) operating under distinct regulatory environments.

To the best of the authors’ knowledge, this paper represents the first instance of using both bibliometric and systematic review to quantitatively and qualitatively review the articles published in the area of IPO pricing and performance from 1989 to 2020.

The purpose of this paper is to explore the connection between initial public offerings (IPOs) and knowledge management (KM). Specifically, the manuscript critically examines the literature on IPOs and KM underlying how KM practices influence the IPO processes of companies.

The authors employ a systematic literature review methodology to identify and thematically investigate 21 articles published in journals by the Chartered Association of Business Schools (ranked 2, 3, 4, 4*).

This research sheds new light on the relevance of KM practices in the context of IPOs. Specifically, the authors identify four crucial aspects concerning companies that opt for an IPO: (i) reasons for IPO and the role of KM; (ii) IPO process and the role of KM; (iii) underpricing and the role of KM; (iv) post-IPO and the role of KM.

This paper shows the pivotal role of effective KM strategies in fostering a successful IPO. Additionally, it provides practical recommendations for companies seeking to effectively harness their intellectual assets during the IPO process.

Are franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.

The determinant analysis examines the factors that contribute to the increasing cumulative level of franking credit balances. Value relevance studies explore whether franking credit balances are priced in the market.

The results provide strong evidence of a size effect that the level of franking credit balances increases with firm size and weak evidence of an international focus effect that the level of franking credit balances increases with international ownership. They also find an individual dividend clientele effect that the level of franking credit balances decreases with individual ownership. They find significant evidence that franking credit balances are priced in the market. One dollar of franking credit is worth 1.4 dollars in firm value. That franking balances are capitalized at more than their face value suggests that franking credits signal firms' future dividend policy. They also find that the market valuation of franking balances increases with firm size but decreases with international focus.

This study provides direct evidence that franking credit balances are capitalized into equity prices. In the determinant analysis, this paper improves Heaney's (2009) model by using the percentage of international ownership as the proxy of international focus, thus addressing the limitation of his measure. In the value relevance tests, the study uses a modified model that includes log-transformation to reduce the skewness of variables based on Tanza's (2014) value relevance model. Moreover, the study suggests that the market valuation of franking credit balances increases with firm size, which contradicts Heaney's (2009) findings.