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Articles 1 - 30 of 110
Full-Text Articles in Finance and Financial Management
An Integrated Analytics Model For Evaluating Strategic Investments Under Volatile Conditions, Atul Chandra, R. Hartley
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
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
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
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 …
Bank Efficiency And Monetary Policy Transmission, Md Asad Iqbal Chowdhury, Md Harun Ur Rashid, Mohammad Shamsu Uddin
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
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
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
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
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
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 …
Ijv Announcements And Shareholder Value Creation: Do Industrial Diversification And Relatedness Matter?, Kin Yip Ho, Zhaoyong Zhang, Lanyue Zhou
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 …
Artificial Intelligence Innovation And Stock Price Crash Risk, Junru Zhang, Chen Cui, Chen Zheng, Grantley Taylor
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.
Hitting The Jackpot: What Drives Casino Hotel Stock Returns’ Predictability?, Thach Pham, Deepa Bannigidadmath, Edmund Goh, Anna Golab
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. …
Does Capital Structure Mediate The Relationship Between Corporate Governance Compliance And Firm Performance? Empirical Evidence From Pakistan, Irfan Haider Shakri, Jaime Yong, Erwei Xiang
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 …
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
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
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
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 …
Tail Risk Network Analysis Of Asian Banks, Thach N. Pham, Robert Powell, Deepa Bannigidadmath
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 …
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
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
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.
Unravelling The Missing Link: Climate Risk, Esg Performance And Debt Capital Cost In China, Yu Yan, Xinman Cheng, Tricia Ong
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
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
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. …
Characteristics Of Proliferating Cryptocurrencies: A Comparative Study Between Stable And Non-Stable Cryptocurrencies, Cheuk Hang Au, Gerrard Li, Wen Shou Hsu, Po Hsu Shieh, Kris M.Y. Law
Characteristics Of Proliferating Cryptocurrencies: A Comparative Study Between Stable And Non-Stable Cryptocurrencies, Cheuk Hang Au, Gerrard Li, Wen Shou Hsu, Po Hsu Shieh, Kris M.Y. Law
Research outputs 2022 to 2026
The emergence of cryptocurrencies has caught the attention worldwide. Some parties have considered issuing cryptocurrencies an excellent opportunity to raise capital and other businesses. However, the factors that foster the proliferation of cryptocurrency are not fully explored. This paper documented a comparative case study of USDT (a successful stablecoin) and EOS (a successful non-stable cryptocurrency). Based on our findings and previous literature, we suggested a Technology-Institution-Market (TIM) framework for cryptocurrency proliferation. We also elaborated on previous FinTech product development and adoption theories and provided some practical implications for cryptocurrency investors, issuers and regulators.
Can Frontline Employees Help Consumers Improve Their Financial Planning Behavior? Implications From Triadic Analysis, Vida Siahtiri, Welf Hermann Weiger, Christian Tetteh-Afi, Tobias Kraemer
Can Frontline Employees Help Consumers Improve Their Financial Planning Behavior? Implications From Triadic Analysis, Vida Siahtiri, Welf Hermann Weiger, Christian Tetteh-Afi, Tobias Kraemer
Research outputs 2022 to 2026
Purpose: As consumer debt can substantially impair subjective well-being, it is crucial for research to gain insights into how consumers can be motivated to improve financial planning. This paper aims to investigate how frontline employees in financial services can help consumers regulate their financial planning behaviors and how financial service providers can effectively support their frontline employees in this effort through leadership and organizational climate. Design/methodology/approach: We incorporate regulatory focus theory and conservation of resource theory to develop a conceptual model that we test in a triadic study with a unique dataset collected from consumers, frontline employees, and managers in …
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
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 …
Disruptive Change Within Financial Technology: A Methodological Analysis Of Digital Transformation Challenges, Laurie Hughes, Jonathan J. M. Seddon, Yogesh K. Dwivedi
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 …
Monetary Policy, Macroprudential Policy, And Bank Risk-Taking Behaviour In The Indonesian Banking Industry, Cep J. Anwar, Nicholas Okot, Indra Suhendra, Dwi Indriyani, Ferry Jie
Monetary Policy, Macroprudential Policy, And Bank Risk-Taking Behaviour In The Indonesian Banking Industry, Cep J. Anwar, Nicholas Okot, Indra Suhendra, Dwi Indriyani, Ferry Jie
Research outputs 2022 to 2026
There is a growing consensus on the translation of monetary policy actions into changes in credit demand on account of changes in interest rates. The study investigates monetary policy, macroprudential policy, bank-specific and macroeconomic determinants of bank risk-taking from 2010–2022 in Indonesia. The study aims to address a gap in the literature because most previous studies have focused on advanced markets. First, three POLS and fixed effect models are estimated. However, the Durbin Wu-Hausman test indicated endogeneity issues with the estimated models. The second stage uses a system GMM estimation to investigate the impact of central bank rates and macroprudential …
Investigating The Relationship Between Monetary Policy, Macro-Prudential Policy And Credit Risk In Indonesia Banking Industry, Cep J. Anwar, Indra Suhendra, Eka Purwanda, Agus Salim, Nur A. Rakhmawati, Ferry Jie
Investigating The Relationship Between Monetary Policy, Macro-Prudential Policy And Credit Risk In Indonesia Banking Industry, Cep J. Anwar, Indra Suhendra, Eka Purwanda, Agus Salim, Nur A. Rakhmawati, Ferry Jie
Research outputs 2022 to 2026
Using a novel panel data set we study the influence of monetary and macro-prudential policies on non-performing loans as a measure of credit risk in Indonesian banking industry from Q1 2010 to Q4 2022. The panel homogeneity assumption was verified through the utilization of the Chow and Roy-Zellner tests. The findings showed that the model was not homogenous, necessitating the use of the Pooled Mean Group (PMG) estimator. The results indicated that monetary and macro-prudential policies significantly impacted credit risk. Furthermore, tight monetary and macro-prudential policies increased and reduced credit risk in the long run, respectively. The findings also showed …
Obedience To Uli’L-Amr And Tax Compliance: Islamic Scholarly Perceptions, Prianto B. Saptono, Ismail Khozen, Ferry Jie
Obedience To Uli’L-Amr And Tax Compliance: Islamic Scholarly Perceptions, Prianto B. Saptono, Ismail Khozen, Ferry Jie
Research outputs 2022 to 2026
For Muslims, all aspects of human life including politics and leadership are governed by the Holy Qur’an. One of the well-known verses is QS. An-Nisa 4:59 which instructs the Muslims to obey uli’l-amr. The literature, however, shows that the scope of obedience is not absolute. Resultantly, the current research aims to understand the tax compliance in the context of obedience to authority. It provides a contemporary viewpoint from the Islamic boarding school (pesantren) communities in Depok, Indonesia about enrichment. Both quantitative research and field observations have been used to accomplish the research goals. Focusing on the pesantren communities’ support for …