Finance and Financial Management Commons^™

Esg News-Based Public Sentiment, Media Attention And Stock Price Crash Risk, Kesara Hewage, Subhash Abhayawansa, Mardy Chiah

Research outputs 2022 to 2026

Purpose: This study aims to examine whether media-driven public perception of a firm’s environmental, social and governance performance (i.e. ESG news sentiment) and its media attention are associated with subsequent stock price crash risk. Using public sentiment formed from ESG news alone – separate from firms’ self-reported ESG performance – study investigates whether media-based ESG information provides incremental informational content about crash risk beyond disclosure-based ESG metrics.

Design/methodology/approach: The authors analyse more than 34, 000 semi-annual firm-level observations for US-listed firms from 2011 to 2021, using Refinitiv MarketPsych ESG sentiment and media attention data. They conduct cross-sectional and channel tests …

Labor Mobility, Managerial Evaluation Risk, And Corporate Performance Disclosures, Justin Hung Nguyen, Buhui Qiu, Cameron Truong

Research outputs 2022 to 2026

This study documents that managers of firms with greater labor mobility (LM) face higher personal evaluation risk (i.e., higher likelihood of performance-driven forced turnover), especially among firms with more transparent performance disclosures. Moreover, managers of high-LM firms tend to adopt lower-quality performance disclosures (i.e., lower financial statement readability, earnings quality, and accounting conservatism) to mitigate their personal evaluation risk. The effect of LM on performance disclosure quality is stronger for firms whose managers are more concerned about personal evaluation risk, but is weaker for firms headquartered in states that restrain mobility. Finally, low-quality disclosures by high-LM firms attract a valuation …

Adjusting To Extreme Demand Volatility: A Comparative Analysis Of Air Navigation Service Provider Financial Resilience In The Southern Asia-Pacific, Margaret Arblaster, Gui Lohmann

Research outputs 2022 to 2026

Air navigation service providers fund their operations almost entirely through activity-based user charges, creating a structural dependency between revenue and air traffic volume. When traffic collapses, revenue falls immediately, but the cost base, dominated by specialised labour under fixed-term employment contracts and long-lived capital infrastructure, adjusts slowly, if at all. This paper examines how five corporatised, wholly government-owned air navigation service providers in the southern Asia-Pacific (i.e., Airservices Australia, Airways New Zealand, AirNav Indonesia, NiuSky Pacific in Papua New Guinea, and Fiji Airports) responded to the extreme demand shock of the COVID-19 pandemic and assesses the role of government grants …

An Integrated Analytics Model For Evaluating Strategic Investments Under Volatile Conditions, Atul Chandra, R. Hartley

Research outputs 2022 to 2026

Strategic projects are exposed to multiple uncertainties within a competitive environment that result in trade-off between two decisions, early investment that pre-empts competitors versus delay to allow resolution of uncertainties. Unlike the binary net present value (NPV) based decision to invest or abandon now, our multiple volatility real option games approach (MVR games) frames strategic investment decisions as a dynamic process for future options. It is a decision tree framework that computes and analyses strategic net present value (SNPV) using four MVR games modules and decision making. SNPV combines NPV with two offsetting real option and strategic values. Real option …

Diversification For Stock Markets: Commodities Or Crypto, Mico Apostolov, Simone Domenico Scagnelli, Lorenzo Vasile

Research outputs 2022 to 2026

The question that an asset could serve as a good store of value has been brought up a number of times, especially due to major market shocks. Despite the long-held belief that gold serves as a safe haven, a growing body of contemporary literature perpetually assesses this notion. Whether cryptocurrencies, namely Bitcoin as the most well-known of them, as an asset, can serve as a safe haven or hedge gains traction in research. This study investigates the relationship of gold and Bitcoin to S&P 500 stock index and the possibility that these might serve as a safe haven in respect …

Using The Four-Quadrant Model Of Think/Feel/Fast/ Slow To Understand The Decision-Making Of Self-Managed Superannuation Fund Trustees, Roger Colbeck, Steven D’Alessandro, John Minas

Research outputs 2022 to 2026

This research focuses on decision-making by trustees of self-managed superannuation funds (SMSFs) in Australia. Behavioral attributes are examined using the four-quadrant model (FQM) developed by Lovric et al. (2010), comprising the cognitive, affective, controlled, and automatic quadrants. The FQM integrates two closely related dual-process theories (DPT). Both the DPT framework and the FQM draw on foundational principles from the cognitive and behavioral sciences. The result of the mixed methods study uses the FQM to explain investment decision-making. The dataset was examined using cluster analysis to identify underlying group structures, followed by regression modelling to assess the relationships between key variables. …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Crisis, Credit Risk, And Productivity: Lessons From The Vietnamese Banking Sector During Covid-19, Van Nguyen, Phuong Thanh Le, Reza Kiani Mavi, Amir Arjomandi

Research outputs 2022 to 2026

This study investigates how an unprecedented systemic shock, the COVID-19 pandemic, reshaped bank productivity and intermediation efficiency in Vietnam, one of the fastest-growing emerging economies. We develop a novel risk-adjusted total factor productivity (TFP) measure based on the by-production Luenberger–Hicks–Moorsteen (LHM) indicator, which incorporates non-performing loans as undesirable outputs to better capture credit-risk dynamics. Using a balanced panel covering both the pre-pandemic and pandemic periods (2016–2022), our results show that Vietnamese banks experienced a general decline in productivity before and during COVID-19, driven largely by reductions in technical and scale efficiency. However, foreign and state-owned banks recorded stronger technological progress …

Information-Processing Gap And Insider Trading Profitability: Evidence From The Xbrl Mandate, Yuyun Huang, Jerry T. Parwada, Yuan George Shan, Joey W. Yang

Research outputs 2022 to 2026

The information processing costs faced by external investors may provide corporate insiders with a comparative advantage. We examine how the phased introduction of the eXtensible Business Reporting Language (XBRL) mandate, designed to lower investors' costs of processing public disclosures, affects insiders’ trading profitability. We find that opportunistic insider sales, but not purchases, become significantly less profitable following the first wave of mandatory XBRL adoption. This decline is consistent with a reduced number of insider sales preceding 10-K filings that convey unfavorable news, as well as with a general fall in insider trading activity and profitability across all three mandate waves. …

Bank Efficiency And Monetary Policy Transmission, Md Asad Iqbal Chowdhury, Md Harun Ur Rashid, Mohammad Shamsu Uddin

Research outputs 2022 to 2026

We offer new insights into how bank efficiency influences the transmission of monetary policy through the bank lending channel (BLC) in an emerging economy context. The study draws on a balanced panel of 29 banks listed on the Dhaka Stock Exchange (DSE), covering the period from 2006 to 2024. We first measure bank efficiency using the non-parametric Data Envelopment Analysis (DEA), which captures both technical efficiency (TE) and scale efficiency (SE). Subsequently, we employ three regression techniques such as Ordinary Least Squares (OLS), Fixed Effects (FE), and the two-step Generalized Method of Moments (GMM) to examine the moderating effects of …

Trust And Fintech: A Review And Research Agenda, James F. Devlin, Sanjit K. Roy, Harjit Sekhon, S. M.A. Moin, Mehmet Sahiner

Research outputs 2022 to 2026

The primary objective of this paper is to formulate a detailed research agenda focussed on trust in the context of FinTech. To achieve this objective, conceptualisations of trust and related constructs are reviewed, and a detailed model of trust is developed. The domain of FinTech is then introduced and is taken to include current and emerging innovations in financial services incorporating aspects of big data and AI, as well as open and decentralised finance and crypto assets. Typologies of FinTech services are also explored. Arguments concerning the importance of trust in financial services are then reviewed, along with prior studies …

Industry Return Predictability Using Health Policy Uncertainty, Thach Pham, Deepa Bannigidadmath, Robert Powell

Research outputs 2022 to 2026

This paper examines how a change in health policy uncertainty affects US industry returns using monthly data from January 1985 to September 2020. We employ in-sample and out-of-sample analyses, and we find evidence that 25 out of 49 considered industries are predictable during the health crisis periods, including severe acute respiratory syndrome and the ongoing coronavirus pandemic. The out-of-sample tests corroborate the evidence for the in-sample predictability. Furthermore, using a mean–variance utility function-based trading strategy, we observe that investors can use this simple tool for their trading strategies and make profits from 2.99 to 11.44% per annum. Our findings are …

Do Companies’ Green Credentials Enhance Trade Credit Provisions? Global Evidence, Rashid Zaman, Nader Atawnah, Deepa Banigidadmath, Muhammad Nadeem, Jia Liu

Research outputs 2022 to 2026

We investigate the impact of corporate renewable energy (RE) adoption on suppliers’ trade credit provisions. Using a global sample of 30 countries, we establish that firms engaging in higher RE consumption secure increased trade credit. Our results remain robust to a variety of sensitivity tests and after accounting for potential endogeneity concerns using the Paris Agreement and companies switching to green energy as exogenous shocks. Our channel analysis reveals that RE take-up mitigates companies’ environmental risk (proxied by environmental violation fines, media coverage of environmental controversies, GHG emissions, and environmental policy stringency). Additional tests reveal that the relationship between RE …

Does Fintech Matter For Rigidity And Risk Aversion Among Incumbent Firms?, Kwaku Alex Gyan, Peter Galvin, Peter Adjei-Bamfo

Research outputs 2022 to 2026

Incumbent firms tend to seek less growth opportunities and are more risk-averse based on their core rigidities – premised on a behaviour of prioritising efficiency associated with improving existing processes. Recently, some firms have adopted FinTech to reduce core rigidity and advance their agility towards risk-taking. However, available research has not fully deconstructed FinTech's effect on the rigidity-risk relationship. We examine this observation among incumbent traditional financial services firms in Australia using both logit regression and fixed effect ordinary least squares. Our findings indicate that FinTech's impact on rigidity could be directional and counterproductive. While predictive FinTech (i.e., algorithmic routines …

How Does Digital Finance Affect Imports, Exports And Trade Balance: Evidence From China, Hongya Li, Xiaobin Lin, Zhaoyong Zhang

Research outputs 2022 to 2026

This paper investigates how digital inclusive finance affects imports and exports as well as foreign trade balance by incorporating the mediating effect of technological innovation and the moderating effect of identified factors. Using panel data from 31 provinces and regions in China, we find robust evidence that digital inclusive finance has a significant and positive effect on China's trade performance, with technological innovation being the important mediator and marketization, industrial structure transformation and upgrading, economic development and financial regulation as the effective moderators. Such effect is found more striking for the central and western regions, confirming the presence of regional …

Does Capital Structure Mediate The Relationship Between Corporate Governance Compliance And Firm Performance? Empirical Evidence From Pakistan, Irfan Haider Shakri, Jaime Yong, Erwei Xiang

Research outputs 2022 to 2026

Purpose: The purpose of this study is to examine how capital structure mediates the effects of corporate governance (CG) compliance on firm performance (FP) in the context of a developing market experiencing significant reforms to its governance landscape. Design/methodology/approach: An index was built to measure firm-level compliance with Pakistan’s code of CG. Several robustness checks were performed, including alternate proxies of dependent and independent variables, using additional control variables and considering the Global Financial Crisis period. To address dynamic effects and endogeneity, several identification strategies were used: a leading dependent variable, fixed effects model, generalised method of moments model and …

Hitting The Jackpot: What Drives Casino Hotel Stock Returns’ Predictability?, Thach Pham, Deepa Bannigidadmath, Edmund Goh, Anna Golab

Research outputs 2022 to 2026

Forecasting casino hotel stock prices are strategically important to key stakeholders making investment decisions. However, there is a paucity of studies that have examined the impact of macro-economic variables, sector-specific variables and firm-specific variables on casino stock returns. This research fills a research gap by examining the predictability of Australian casino hotel stock returns. The forecasting of casino hotel stock prices was modelled using econometric panel predictive regression analysis through the efficacy of 26 predictors comprising macroeconomic variables, sector-specific variables, and firm-specific variables as predictors. All eight casinos listed on the Australia Stock Exchange (ASX) were included in our sample. …

Artificial Intelligence Innovation And Stock Price Crash Risk, Junru Zhang, Chen Cui, Chen Zheng, Grantley Taylor

Research outputs 2022 to 2026

This study examines the association between artificial intelligence innovation (AII) and stock price crash risk (SPCR). AII serves as a governance mechanism that can bolster strength in internal controls, leading to increased financial transparency and thereby reducing the likelihood of future SPCR. The results hold after accounting for possible endogeneity issues Further, we find that monitoring through corporate governance mechanisms, level of following by equity analysts, and the reduced information asymmetry constitute important channels that mediate the association between AII and SPCR. Additionally, the relationship between AII and SPCR varies across corporate life cycle stages and workplace culture.

Ijv Announcements And Shareholder Value Creation: Do Industrial Diversification And Relatedness Matter?, Kin Yip Ho, Zhaoyong Zhang, Lanyue Zhou

Research outputs 2022 to 2026

Purpose – This study empirically examines how industrial diversification and partner business relatedness influence shareholder value, focusing on US multinational enterprises’ (MNEs) worldwide joint venture (JV) announcements, with particular emphasis on East Asian economies. Design/methodology/approach – Drawing on theories from finance, strategic management and international business, we apply a standard event study methodology and employ three parametric and nonparametric tests (i.e. the Patell Z-test, the rank test and the generalized sign test) to assess the impact. We calculate abnormal returns (ARs) as the difference between actual and expected returns and average them across firms to obtain the average AR for …

Critical Success Factors Of Users’ Continuous Intention Of Adopting Cryptocurrency Exchanges: Las-Vict Principle, Cheuk Hang Au, Kevin K.W. Ho, Kris M.Y. Law, Dickson K.W. Chiu

Research outputs 2022 to 2026

The proliferation of cryptocurrencies has contributed to the emergence of different cryptocurrency exchanges (crypto-exchanges). While these services may be regarded as FinTech, involving cryptocurrency as the major transaction currency has made these services potentially distinctive from other fiat-based FinTech services. Thus, the critical success factors of crypto-exchanges may not be identical to those of other fiat-based FinTech services. Grounded on theories related to FinTech and service varieties, we developed a survey and explored the role of different factors on users’ continuous intention of adopting the crypto-exchanges. Our results suggested that when users perceive specific crypto-exchange characteristics, they are more likely …

Exploring Impression Management Through Eye-Tracking: A Study On The Influence Of Photographs In Financial Reporting, Andreas Hellmann, Simone D. Scagnelli, Lawrence Ang, Suresh Sood

Research outputs 2022 to 2026

The objective of financial reporting is to provide decision-useful information for a wide range of existing and potential stakeholders. However, the lack of regulation regarding the use of visual imagery may enable companies to engage in impression management and subtly influence the reader's judgments through careful selection of images and how they obfuscate or clarify information. This study utilizes eye-tracking technology to experimentally examine how non-explanatory photographs influence the performance judgments of non-professional investors comprising business students and auditors. Participants were exposed to an excerpt of the management summary of a fictitious company's annual report. The findings suggest while a …

Sequential Investment Decisions For Mining Projects Using Compound Multiple Volatility Real Options Approach, Atul Chandra, Peter R. Hartley

Research outputs 2022 to 2026

Managers evaluating investment decisions in mining projects have reported using the net present value approach (NPV). However, NPV has the drawback of collapsing variations from uncertainties in future project cash flows into a fixed expected project value today. Ignoring future uncertainties and contingencies can lead managers to make incorrect up-front binary decisions, such as investing in or abandoning the project now. The real options analysis approach (ROA) instead captures variations from uncertainties as volatilities in project value and allows flexibility in investment decisions to be contingent on information as it is revealed. Managers we consulted agreed that ROA is superior …

Cash Holding And Corporate Governance On Company Financial Performance: Case Study Of Construction Infrastructure Project Supporting Industries On The Indonesian Stock Exchange, Mariana Ing Malelak, Zeplin Jiwa Husada Tarigan, Sautma Ronni Basana, Ferry Jie

Research outputs 2022 to 2026

The Indonesian government currently focuses on high infrastructure development to prepare for connectivity between one city and another. The massive construction of the new government capital is also called the archipelago's capital. This condition impacts companies supporting construction projects, which are growing rapidly. This growth is supported by corporate governance and the cash-holding industry, which supports infrastructure projects for the company's financial performance. This research aims to determine the role of cash holding and corporate governance (board skill, independent director, managerial ownership) on the financial performance of infrastructure-supporting manufacturing companies in Indonesia. The sample used in this research was 83 …

Improving Volatility Forecasting: A Study Through Hybrid Deep Learning Methods With Wgan, Adel Hassan A. Gadhi, Shelton Peiris, David E. Allen

Research outputs 2022 to 2026

This paper examines the predictive ability of volatility in time series and investigates the effect of tradition learning methods blending with the Wasserstein generative adversarial network with gradient penalty (WGAN-GP). Using Brent crude oil returns price volatility and environmental temperature for the city of Sydney in Australia, we have shown that the corresponding forecasts have improved when combined with WGAN-GP models (i.e., ANN-(WGAN-GP), LSTM-ANN-(WGAN-GP) and BLSTM-ANN (WGAN-GP)). As a result, we conclude that incorporating with WGAN-GP will’ significantly improve the capabilities of volatility forecasting in standard econometric models and deep learning techniques.

Tail Risk Network Analysis Of Asian Banks, Thach N. Pham, Robert Powell, Deepa Bannigidadmath

Research outputs 2022 to 2026

This study aims to investigate the tail risk dependence of individual banks in Asian emerging markets. Using value at risk and conditional value at risk to measure tail risk and employing the least absolute shrinkage and selection operator regression to build the network, this study analysed interconnectedness at three levels: system-wide, country level and individual bank level. This study yields three key findings. First, banks in Asian emerging markets have a notably high tail risk network, particularly during more extreme market conditions. Second, the smaller and more interconnected banks are the most systemically important in the region, rather than the …

Unravelling The Missing Link: Climate Risk, Esg Performance And Debt Capital Cost In China, Yu Yan, Xinman Cheng, Tricia Ong

Research outputs 2022 to 2026

The concept of sustainability has developed significantly from an unrealistic abstract ideology to a framework that can measure companies’ environment, society and corporate governance (ESG) performance. While extensive research has established some relational impacts of ESG performance on debt capital cost (DCC), this paper contends that a comprehensive review of these impacts is incomplete without screening them through the lens of climate risk (CR). Companies are subjected to CR that comprises physical and transition factors resulting from climate change. This paper aims to unravel the missing link between CR and ESG performance, and the consequent impacts on DCC. This paper …

Share Pledge And Accounting Conservatism In Share-Pledging Firms: Evidence From A Natural Experiment In China, Xin Wang, Yue Sun, Yanlin Li, Cuijiao Zhang

Research outputs 2022 to 2026

This paper focuses on firms in which insiders pledge their shares as collateral for loans. By investigating a natural experiment—China’s enactment of provisions on share reductions that restrict pledge creditors’ cashing-out behavior—we find that pledging firms exhibited more conservative financial reporting after the implementation than non-pledging firms. This effect was pronounced in firms with a higher ratio of pledged shares, a longer maturation period of the pledged shares, and more concentrated pledge creditors. Additionally, we show that pledging firms increased their accounting conservatism after the shock, leading to a lower risk of margin calls and stock price crashes. The effect …

Investigating The Impact Of Company Announcements On Stock Prices: An Application Of Machine Learning On Australian Lithium Market, Ahmad Kianrad, Mohadeseh N. Arani, Karim Hasani, Masoumeh Zargar, Eila Erfani, Amir Razmjou

Research outputs 2022 to 2026

This paper investigates the effects of various types of announcements made by lithium producers on stock prices. We collected data from 40 lithium-producing companies listed on the world's largest stock exchanges, spanning from May 2020 to September 2022. To analyze the impact of announcements such as quoted and unquoted securities, market announcements, company reports, public meetings and presentations, financial announcements, and technical announcements on stock prices, we employed an extreme gradient boosting (XGBoost) model. Our results indicate that stock exchange market announcements and announcements about public meetings and presentations significantly influenced the stock prices of all eight large-cap companies studied. …

Disruptive Change Within Financial Technology: A Methodological Analysis Of Digital Transformation Challenges, Laurie Hughes, Jonathan J. M. Seddon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

The digital transformation of the FinTech industry has revealed a plethora of significant challenges for industry decision makers and wider stakeholder groups as organisations contend with the onset of new regulatory frameworks, legacy systems, flexible business models and alignment with corporate social responsibility practice. The reshaping of organisations and drive to greater levels of decentralisation and employee centric practice, presents a cultural shift for the sector, with implications for the success and resulting benefits of change across the industry. This study aims to develop novel insight to the ‘lived in’ impact of digital transformation within the FinTech industry from a …

Accounting-Based Variables As An Early Warning Indicator Of Financial Distress In Crisis And Non-Crisis Periods, Robert J. Powell, Dung V. Dinh, Nam T. Vu, Duc H. Vo

Research outputs 2022 to 2026

Financial integration in the Association of Southeast Asian Nations (ASEAN) region is a key focus of the ASEAN Economic Community. Whereas many studies focus on modelling corporate default, this paper identifies early warning indicators of financial distress before a default, using multiple discriminant analysis (MDA) models with a sample of listed and delisted companies in the ASEAN region. The analysis examines 720 companies in 10 different industries across six ASEAN countries from 1997 to 2016. The study constructs individual models for each country as well as an overall model for the entire region, using both in-sample and out-of-sample approaches. This …