Irfan Haider Shakri

ORCID: 0000-0001-9967-1100
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About
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Research Areas
  • Corporate Finance and Governance
  • Auditing, Earnings Management, Governance
  • Corporate Social Responsibility Reporting
  • Islamic Finance and Banking Studies
  • Blockchain Technology Applications and Security
  • Market Dynamics and Volatility
  • Corporate Taxation and Avoidance
  • Law, Economics, and Judicial Systems
  • Environmental Sustainability in Business
  • Microfinance and Financial Inclusion
  • FinTech, Crowdfunding, Digital Finance
  • Regulation and Compliance Studies
  • Stock Market Forecasting Methods
  • COVID-19 Pandemic Impacts
  • Sustainable Supply Chain Management
  • Taxation and Legal Issues
  • Technology Adoption and User Behaviour

Iqra University
2022-2024

Edith Cowan University
2020-2024

RMIT Vietnam
2024

Abstract We examine the effect of asset redeployability on corporate misconduct and find a significant positive relationship. Utilizing large sample public US firms for period 2001 to 2015, we that one standard deviation (SD) increase in proportion redeployable assets leads 7.2% fines. also association between varies across types industrial heterogeneity. In our channel analysis, managerial risk‐taking is potential mechanism through which associated with misconduct. Additional tests reveal...

10.1111/jbfa.12591 article EN cc-by Journal of Business Finance &amp Accounting 2022-01-25

Purpose The purpose of this study is to examine how capital structure mediates the effects corporate governance (CG) compliance on firm performance (FP) in context a developing market experiencing significant reforms its landscape. Design/methodology/approach An index was built measure firm-level with Pakistan’s code CG. Several robustness checks were performed, including alternate proxies dependent and independent variables, using additional control variables considering Global Financial...

10.1108/jabs-08-2023-0315 article EN cc-by Journal of Asia Business Studies 2025-02-27

Purpose The purpose of this study is to compare five data-driven-based ML techniques predict the time series data Bitcoin returns, namely, alternating model tree, random forest (RF), multiple linear regression, multi-layer perceptron regression and M5 Tree algorithms. Design/methodology/approach used forecast returns ranges from 8 July 2010 30 Aug 2020. This several predictors bitcoin including economic policy uncertainty, equity market volatility index, S&P USD/EURO exchange rates, oil...

10.1108/sef-06-2021-0217 article EN Studies in Economics and Finance 2021-11-01

Abstract We examine impact of corporate governance on firm performance following the implementation changes to Code Corporate Governance Pakistan in 2012. Our sample period from 2008 2022 include periods political instability and shifts Pakistan's landscape, providing an opportunity effectiveness mechanisms enhancing accounting‐ market‐based measures. find significant improvements attributed reforms regulatory framework surrounding practices particularly expanded scope composition boards...

10.1111/ecpo.12303 article EN cc-by-nc Economics and Politics 2024-07-01

This study investigates whether and how co-opted directors prevent or cause accounting controversies. contributes to the ongoing debate on effectiveness of by employing a sample US firms over 2002 – 2022 documents that controversies are likely be higher in boards with proportion directors. The results consistent use several estimations control for endogeneity. findings offer significant implications all stakeholders, fostering support dark side view

10.2139/ssrn.4806804 preprint EN 2024-01-01

This paper investigates the relationship between COVID-19 crisis and two leading cryptocurrencies, Bitcoin Ethereum, from 31 December 2019 to 18 August 2020. We also use an economic news sentiment index financial market explore possible mechanisms through which impacts cryptocurrency. employ a VAR Granger Causality framework Wavelet Coherence Analysis find cryptocurrency was impacted in early phase of sample period sentiments, but this effect diminished after June 2020.

10.24135/afl.v10i.429 article EN cc-by-nc-nd Applied Finance Letters 2021-10-31
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