Pub Date : 2024-01-10DOI: 10.1108/jal-07-2023-0124
Lin Han, Hansi Hu, Terry Walter
PurposeAre franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThis 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.
{"title":"The valuation and determinants of franking account balances","authors":"Lin Han, Hansi Hu, Terry Walter","doi":"10.1108/jal-07-2023-0124","DOIUrl":"https://doi.org/10.1108/jal-07-2023-0124","url":null,"abstract":"PurposeAre franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.Design/methodology/approachThe 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.FindingsThe 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.Originality/valueThis 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.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
PurposeThis study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.Design/methodology/approachThe results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.FindingsA substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.Research limitations/implicationsSeveral limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.Practical implicationsCompanies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.Originality/valueThis meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.
{"title":"Unveiling the hidden symphony: board dynamics and carbon emission disclosure – a meta-analysis study in the realm of developed markets","authors":"Coky Fauzi Alfi, Maslinawati Mohamad, Khaled Hussainey","doi":"10.1108/jal-07-2023-0126","DOIUrl":"https://doi.org/10.1108/jal-07-2023-0126","url":null,"abstract":"PurposeThis study conducts a meta-analysis to investigate the impact of board diversity, independence and size on carbon emission disclosure.Design/methodology/approachThe results of 22 empirical investigations on the association between board qualities and carbon emission disclosure are synthesised using a meta-analysis approach. Inclusion and exclusion criteria are established, and search strategies are devised to locate relevant material. Data extraction entails gathering important information such as the names of the authors, variables and correlation coefficients. Fisher's z-transformation is used to compute and synthesise effect sizes and assumptions, sensitivity testing and subgroup analysis are performed to assess the robustness of the findings.FindingsA substantial association was discovered between board characteristics and carbon emission disclosure. Board independence and gender diversity revealed small to medium-strength positive relationships, whilst board size had a medium-strength positive correlation. The study periods varied from 2011 to 2022, with 2018 having the most studies. However, highly heterogeneous groups were discovered; further subgroup analyses were then carried out to sort out this issue.Research limitations/implicationsSeveral limitations were recognised due to the limited number of studies and heterogeneity, although subgroup analysis was used to reduce the influence of heterogeneity. To investigate alternate outcomes, more analysis of the heterogeneity level and potential modifications to the model assumptions may be required.Practical implicationsCompanies should consider board size, independence and gender diversity when formulating long-term competitive strategies in the climate change movement. These characteristics can aid in bridging information gaps and garnering stakeholder support for carbon-reduction initiatives.Originality/valueThis meta-analysis addresses a gap in the literature by addressing prior studies' conflicting and inconsistent findings on the association between board characteristics and carbon emission disclosure. It employs a rigorous approach and synthesis strategy to provide a thorough and robust understanding of the crucial role of board characteristics in carbon emission disclosure.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-08DOI: 10.1108/jal-11-2022-0111
M. Tiwari, J. Ferrill, Douglas M.C. Allan
PurposeThis paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.Design/methodology/approachA systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.FindingsThe systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.Originality/valueAs the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.
{"title":"Trade-based money laundering: a systematic literature review","authors":"M. Tiwari, J. Ferrill, Douglas M.C. Allan","doi":"10.1108/jal-11-2022-0111","DOIUrl":"https://doi.org/10.1108/jal-11-2022-0111","url":null,"abstract":"PurposeThis paper aims to offer the first known synthesis of peer-reviewed literature on trade-based money laundering (TBML). Given the topic is in its nascent stage yet gaining prominence across scholarship and practice, this foundation is pertinent for future TBML research.Design/methodology/approachA systematic literature review was undertaken with a formulaic search string. Both qualitative (thematic) and quantitative (meta) analysis methods were used to illustrate the findings.FindingsThe systematic literature review, using qualitative and quantitative synthesis, led to a thematic categorization of extant TBML literature into four categories: TBML risk assessment, TBML detection, the role of professionals and understanding of TBML. Due to the limited number of studies, insights that can be drawn from the extant literature on the best way to combat TBML are also limited.Originality/valueAs the first systematic literature review on TBML, this study identified that the existing TBML literature has focused on increasing the understanding of the phenomenon in terms of its definition and mechanisms, detection, linkage with other crimes, such as organized crime and terrorism financing, and risk assessment frameworks. The originality of these findings lies in identifying areas future researchers might explore to broaden the academic literature.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-05DOI: 10.1108/jal-08-2023-0143
Carla Del Gesso, R. Lodhi
PurposeEnvironmental, social and governance (ESG) disclosure has gained momentum in corporate reporting. Addressing a research gap on the subject, this paper aims to explore the theories involved in ESG disclosure studies, thereby shedding light on the dominant theoretical approaches and emerging perspectives that inform this type of disclosure.Design/methodology/approachA systematic review of 142 selected accounting studies published up to June 2023 devoted to ESG – and corporate social responsibility (CSR) – disclosure was conducted. The theories underlying these studies were examined through a descriptive performance analysis complemented by a systematic qualitative text analysis using RStudio and QDA Miner software tools.FindingsThe study reveals that five dominant theories stand out among the overall 32 found: stakeholder theory first, followed by legitimacy, institutional, agency and signaling theories. Theories are often combined into an integrated theoretical framework. The findings also show an array of minor constructs – many of them unconventional – that offer fresh perspectives for studying ESG disclosure, such as upper echelons, stakeholder salience, cognitive cost and reputation theories, among others.Originality/valueThis paper provides an original literature contribution by offering a comprehensive overview of the mainstream and niche theoretical perspectives underpinning accounting studies focused on ESG disclosure, with a nuanced scope of discussion on the use of ESG/CSR terms.
{"title":"Theories underlying environmental, social and governance (ESG) disclosure: a systematic review of accounting studies","authors":"Carla Del Gesso, R. Lodhi","doi":"10.1108/jal-08-2023-0143","DOIUrl":"https://doi.org/10.1108/jal-08-2023-0143","url":null,"abstract":"PurposeEnvironmental, social and governance (ESG) disclosure has gained momentum in corporate reporting. Addressing a research gap on the subject, this paper aims to explore the theories involved in ESG disclosure studies, thereby shedding light on the dominant theoretical approaches and emerging perspectives that inform this type of disclosure.Design/methodology/approachA systematic review of 142 selected accounting studies published up to June 2023 devoted to ESG – and corporate social responsibility (CSR) – disclosure was conducted. The theories underlying these studies were examined through a descriptive performance analysis complemented by a systematic qualitative text analysis using RStudio and QDA Miner software tools.FindingsThe study reveals that five dominant theories stand out among the overall 32 found: stakeholder theory first, followed by legitimacy, institutional, agency and signaling theories. Theories are often combined into an integrated theoretical framework. The findings also show an array of minor constructs – many of them unconventional – that offer fresh perspectives for studying ESG disclosure, such as upper echelons, stakeholder salience, cognitive cost and reputation theories, among others.Originality/valueThis paper provides an original literature contribution by offering a comprehensive overview of the mainstream and niche theoretical perspectives underpinning accounting studies focused on ESG disclosure, with a nuanced scope of discussion on the use of ESG/CSR terms.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-29DOI: 10.1108/jal-03-2023-0042
Samir Alamad
PurposeThis study aims to investigate the claim that there is no coherent and homogeneous body of concepts and practices that can be classified as “Islamic accounting”.Design/methodology/approachThe study focuses specifically on Islamic accounting and uses a qualitative historical documentary analysis methodology to study an original manuscript from the 14th century.FindingsThe analysis of the manuscript argues that religious accounting can be seen as a value-based system for achieving social good and that in the context of Islamic accounting, it can be conceptualised as a coherent body of ideas and practices.Originality/valueFirstly, the study conceptualises Islamic accounting as a homogeneous discipline with its own knowledge, concepts and practices. Secondly, it contributes to current accounting literature by examining an ancient manuscript from the 14th century, which serves as a foundation for understanding the Islamic accounting system within the context of accounting, religion and spirituality. The paper further contributes by arguing that this conceptualisation of religious accounting as a value-based approach enables its practitioners to evaluate their own accountabilities in delivering on socioeconomic objectives related to inter-human/environmental, social and financial transactions within the context of religious accounting practices.
{"title":"Conceptualising accounting as a value-based concept in the context of alternative finance","authors":"Samir Alamad","doi":"10.1108/jal-03-2023-0042","DOIUrl":"https://doi.org/10.1108/jal-03-2023-0042","url":null,"abstract":"PurposeThis study aims to investigate the claim that there is no coherent and homogeneous body of concepts and practices that can be classified as “Islamic accounting”.Design/methodology/approachThe study focuses specifically on Islamic accounting and uses a qualitative historical documentary analysis methodology to study an original manuscript from the 14th century.FindingsThe analysis of the manuscript argues that religious accounting can be seen as a value-based system for achieving social good and that in the context of Islamic accounting, it can be conceptualised as a coherent body of ideas and practices.Originality/valueFirstly, the study conceptualises Islamic accounting as a homogeneous discipline with its own knowledge, concepts and practices. Secondly, it contributes to current accounting literature by examining an ancient manuscript from the 14th century, which serves as a foundation for understanding the Islamic accounting system within the context of accounting, religion and spirituality. The paper further contributes by arguing that this conceptualisation of religious accounting as a value-based approach enables its practitioners to evaluate their own accountabilities in delivering on socioeconomic objectives related to inter-human/environmental, social and financial transactions within the context of religious accounting practices.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139145004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.1108/jal-06-2023-0109
S. Guo, Beilei Mei, Yanchao Rao, Jianfang Ye
PurposeThis study investigates the implementation challenges and economic consequences of the International Financial Reporting Standards 9 (IFRS 9) Financial Instruments.Design/methodology/approachDescriptive evidence on equity asset reclassifications and estimated impairment using the new expected credit loss (ECL) model are presented. Multivariate analyses on the disposal of available-for-sale (AFS) and fund investment post-announcement and the value relevance of impairments to financial assets post-implementation are performed.FindingsOver 60% of sample firms report inconsistent equity asset reclassifications and do not change estimated impairment using the new expected credit loss model. Firms also switch from AFS to equity fund investments post-announcement. Lastly, impairments to financial assets increase in value relevance to investors’ post-implementation, but only in financial institutions and firms with Big 4 auditors.Originality/valueThis study's findings suggest that IFRS 9 presents implementation challenges and changes equity investment strategies. They also indicate cross-sectional differences in firms' ability to effectively apply the new standards. This study is valuable for policymakers, business leaders, investors and academics.
{"title":"Challenges and economic consequences of IFRS 9: evidence from China","authors":"S. Guo, Beilei Mei, Yanchao Rao, Jianfang Ye","doi":"10.1108/jal-06-2023-0109","DOIUrl":"https://doi.org/10.1108/jal-06-2023-0109","url":null,"abstract":"PurposeThis study investigates the implementation challenges and economic consequences of the International Financial Reporting Standards 9 (IFRS 9) Financial Instruments.Design/methodology/approachDescriptive evidence on equity asset reclassifications and estimated impairment using the new expected credit loss (ECL) model are presented. Multivariate analyses on the disposal of available-for-sale (AFS) and fund investment post-announcement and the value relevance of impairments to financial assets post-implementation are performed.FindingsOver 60% of sample firms report inconsistent equity asset reclassifications and do not change estimated impairment using the new expected credit loss model. Firms also switch from AFS to equity fund investments post-announcement. Lastly, impairments to financial assets increase in value relevance to investors’ post-implementation, but only in financial institutions and firms with Big 4 auditors.Originality/valueThis study's findings suggest that IFRS 9 presents implementation challenges and changes equity investment strategies. They also indicate cross-sectional differences in firms' ability to effectively apply the new standards. This study is valuable for policymakers, business leaders, investors and academics.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-19DOI: 10.1108/jal-08-2023-0150
Yige Jin, Xing Li, Gaoliang Tian, Jing Shi, Yunyi Wang
PurposeIn this study, the authors explore the association between employee education level and the efficiency of corporate investment using data from a sample of Chinese listed firms during the period from 2011 to 2018. By examining the impact of education on investment efficiency, the authors' study provides valuable insights that contribute to a deeper understanding of the underlying economic mechanisms related to education.Design/methodology/approachThe authors conduct multivariate regression analyses to examine the relationship between investment efficiency (following Richardson, 2006) and the level of employee education, along with a series of control variables. To ensure the reliability of the authors' findings, the authors subject the their results to a comprehensive set of robustness tests, such as a staggered difference-in-difference (DiD) regression approach, an instrumental variable (IV) method and the use of alternative employee education level and investment efficiency measurements.FindingsThe findings offer compelling evidence that higher levels of education have a positive impact on firms' investment efficiency, and this effect remains robust across various model specifications and endogeneity considerations. Moreover, the influence of education is more pronounced in firms that prioritize employee training, maintain effective internal communication and offer attractive financial rewards. Furthermore, the results suggest that the relationship between education and investment efficiency is influenced by the firms' business nature and competitive environment. Factors such as business complexity, labor intensity and business location also play a role in shaping the impact of education on investment outcomes.Originality/valueThe study emphasizes the crucial role of education in influencing investment decisions and performance within firms. By delving into this previously unexplored area, the authors' research contributes to the existing literature, establishing that the level of employee education is a significant determinant of corporate investment efficiency. This valuable insight has substantial implications for firms aiming to enhance their investment decision-making processes and overall performance. Understanding the positive impact of education on investment efficiency can empower organizations to leverage their human capital effectively and achieve better investment outcomes, ultimately contributing to long-term success and competitiveness in the market.
{"title":"Employee education level and efficiency of corporate investment","authors":"Yige Jin, Xing Li, Gaoliang Tian, Jing Shi, Yunyi Wang","doi":"10.1108/jal-08-2023-0150","DOIUrl":"https://doi.org/10.1108/jal-08-2023-0150","url":null,"abstract":"PurposeIn this study, the authors explore the association between employee education level and the efficiency of corporate investment using data from a sample of Chinese listed firms during the period from 2011 to 2018. By examining the impact of education on investment efficiency, the authors' study provides valuable insights that contribute to a deeper understanding of the underlying economic mechanisms related to education.Design/methodology/approachThe authors conduct multivariate regression analyses to examine the relationship between investment efficiency (following Richardson, 2006) and the level of employee education, along with a series of control variables. To ensure the reliability of the authors' findings, the authors subject the their results to a comprehensive set of robustness tests, such as a staggered difference-in-difference (DiD) regression approach, an instrumental variable (IV) method and the use of alternative employee education level and investment efficiency measurements.FindingsThe findings offer compelling evidence that higher levels of education have a positive impact on firms' investment efficiency, and this effect remains robust across various model specifications and endogeneity considerations. Moreover, the influence of education is more pronounced in firms that prioritize employee training, maintain effective internal communication and offer attractive financial rewards. Furthermore, the results suggest that the relationship between education and investment efficiency is influenced by the firms' business nature and competitive environment. Factors such as business complexity, labor intensity and business location also play a role in shaping the impact of education on investment outcomes.Originality/valueThe study emphasizes the crucial role of education in influencing investment decisions and performance within firms. By delving into this previously unexplored area, the authors' research contributes to the existing literature, establishing that the level of employee education is a significant determinant of corporate investment efficiency. This valuable insight has substantial implications for firms aiming to enhance their investment decision-making processes and overall performance. Understanding the positive impact of education on investment efficiency can empower organizations to leverage their human capital effectively and achieve better investment outcomes, ultimately contributing to long-term success and competitiveness in the market.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138961701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.1108/jal-07-2023-0119
Volodymyr Novykov, Christopher Bilson, A. Gepp, Geoff Harris, B. Vanstone
PurposeMachine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.Design/methodology/approachThis review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.FindingsThe authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.Originality/valueSeveral systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.
{"title":"Deep learning applications in investment portfolio management: a systematic literature review","authors":"Volodymyr Novykov, Christopher Bilson, A. Gepp, Geoff Harris, B. Vanstone","doi":"10.1108/jal-07-2023-0119","DOIUrl":"https://doi.org/10.1108/jal-07-2023-0119","url":null,"abstract":"PurposeMachine learning (ML), and deep learning in particular, is gaining traction across a myriad of real-life applications. Portfolio management is no exception. This paper provides a systematic literature review of deep learning applications for portfolio management. The findings are likely to be valuable for industry practitioners and researchers alike, experimenting with novel portfolio management approaches and furthering investment management practice.Design/methodology/approachThis review follows the guidance and methodology of Linnenluecke et al. (2020), Massaro et al. (2016) and Fisch and Block (2018) to first identify relevant literature based on an appropriately developed search phrase, filter the resultant set of publications and present descriptive and analytical findings of the research itself and its metadata.FindingsThe authors find a strong dominance of reinforcement learning algorithms applied to the field, given their through-time portfolio management capabilities. Other well-known deep learning models, such as convolutional neural network (CNN) and recurrent neural network (RNN) and its derivatives, have shown to be well-suited for time-series forecasting. Most recently, the number of papers published in the field has been increasing, potentially driven by computational advances, hardware accessibility and data availability. The review shows several promising applications and identifies future research opportunities, including better balance on the risk-reward spectrum, novel ways to reduce data dimensionality and pre-process the inputs, stronger focus on direct weights generation, novel deep learning architectures and consistent data choices.Originality/valueSeveral systematic reviews have been conducted with a broader focus of ML applications in finance. However, to the best of the authors’ knowledge, this is the first review to focus on deep learning architectures and their applications in the investment portfolio management problem. The review also presents a novel universal taxonomy of models used.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138964310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-05DOI: 10.1108/jal-07-2023-0122
Martin Kelly, P. Larres
PurposeFollowing recent high-profile audit failures, concern has been expressed that auditors are not demonstrating sufficient skepticism when exercising professional judgment. In particular, client assumptions and estimations relating to hypothetical valuations in financial reporting are not being challenged. This paper seeks to address the issue by advancing a decision-making framework aimed at guiding auditors beyond regulatory reductionist thinking towards an enhanced understanding of the cognitive processes which shape professional judgment in forming a reliable audit opinion.Design/methodology/approachDrawing on the normative philosophical and theological teachings of Bernard Lonergan, the authors' decision-making framework embodies reflective thinking and the data of consciousness to highlight the central role played by enquiry in the dynamics of understanding, judgment and decision-making. Such enquiry elicits challenge of the management bias inherent in hypothetical valuations.FindingsAuditing through a Lonerganian lens allows auditors to reflect on their approach to objective decision-making by offering a set of cognitive tools to enhance the enquiry essential for nurturing professional skepticism.Originality/valueThis paper contributes to the literature by developing the somewhat neglected discourse on the cognitive processes essential for professional skepticism and audit judgment. The authors demonstrate how Lonerganian self-appropriation intensifies an awareness of the recursive cognitive activities pertinent to objective judgment and decision-making. This awakened consciousness has the potential not only to change how auditors question evidence to make informed judgments and decisions, but also to normalize the practice of challenge.
{"title":"Enhancing the auditor's mindset: a framework for nurturing professional skepticism","authors":"Martin Kelly, P. Larres","doi":"10.1108/jal-07-2023-0122","DOIUrl":"https://doi.org/10.1108/jal-07-2023-0122","url":null,"abstract":"PurposeFollowing recent high-profile audit failures, concern has been expressed that auditors are not demonstrating sufficient skepticism when exercising professional judgment. In particular, client assumptions and estimations relating to hypothetical valuations in financial reporting are not being challenged. This paper seeks to address the issue by advancing a decision-making framework aimed at guiding auditors beyond regulatory reductionist thinking towards an enhanced understanding of the cognitive processes which shape professional judgment in forming a reliable audit opinion.Design/methodology/approachDrawing on the normative philosophical and theological teachings of Bernard Lonergan, the authors' decision-making framework embodies reflective thinking and the data of consciousness to highlight the central role played by enquiry in the dynamics of understanding, judgment and decision-making. Such enquiry elicits challenge of the management bias inherent in hypothetical valuations.FindingsAuditing through a Lonerganian lens allows auditors to reflect on their approach to objective decision-making by offering a set of cognitive tools to enhance the enquiry essential for nurturing professional skepticism.Originality/valueThis paper contributes to the literature by developing the somewhat neglected discourse on the cognitive processes essential for professional skepticism and audit judgment. The authors demonstrate how Lonerganian self-appropriation intensifies an awareness of the recursive cognitive activities pertinent to objective judgment and decision-making. This awakened consciousness has the potential not only to change how auditors question evidence to make informed judgments and decisions, but also to normalize the practice of challenge.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138598832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-30DOI: 10.1108/jal-01-2023-0001
Hany Elbardan, Donald Nordberg, Vikash Kumar Sinha
PurposeThis study aims to examine how the legitimacy of internal auditing is reconstructed during enterprise resource planning (ERP)-driven technological change.Design/methodology/approachThe study is based on the comparative analysis of internal auditing and its transformation due to ERP implementations at two case firms operating in the food sector in Egypt – one a major Egyptian multinational corporation (MNC) and the other a major domestic company (DC).FindingsInternal auditors (IAs) at MNC saw ERP implementation as an opportunity to reconstruct the legitimacy of internal auditing work by engaging and partnering with actors involved with the ERP change. In doing so, the IAs acquired system certifications and provided line functions and external auditors with data-driven business insights. The “practical coping mechanism” adopted by the IAs led to the acceptance (and legitimacy) of their work. In contrast, IAs at DC adopted a purposeful strategy of disengaging, blaming and rejecting since they were skeptical of the top management team's (TMT's) sincerity. The “disinterestedness” led to the loss of legitimacy in the eyes of the stakeholders.Originality/valueThe article offers two contributions. First, it extends the literature by highlighting a spectrum of behavior displayed by IAs (coping with impending issues vs strategic purposefulness) during ERP-driven technological change. Second, the article contributes to the literature on legitimacy by highlighting four intertwined micro-processes – participating, socializing, learning and role-forging – that contribute to reconstructing the legitimacy of internal auditing.
{"title":"Reconstructing legitimacy of internal auditing during ERP implementations: two contrasting cases","authors":"Hany Elbardan, Donald Nordberg, Vikash Kumar Sinha","doi":"10.1108/jal-01-2023-0001","DOIUrl":"https://doi.org/10.1108/jal-01-2023-0001","url":null,"abstract":"PurposeThis study aims to examine how the legitimacy of internal auditing is reconstructed during enterprise resource planning (ERP)-driven technological change.Design/methodology/approachThe study is based on the comparative analysis of internal auditing and its transformation due to ERP implementations at two case firms operating in the food sector in Egypt – one a major Egyptian multinational corporation (MNC) and the other a major domestic company (DC).FindingsInternal auditors (IAs) at MNC saw ERP implementation as an opportunity to reconstruct the legitimacy of internal auditing work by engaging and partnering with actors involved with the ERP change. In doing so, the IAs acquired system certifications and provided line functions and external auditors with data-driven business insights. The “practical coping mechanism” adopted by the IAs led to the acceptance (and legitimacy) of their work. In contrast, IAs at DC adopted a purposeful strategy of disengaging, blaming and rejecting since they were skeptical of the top management team's (TMT's) sincerity. The “disinterestedness” led to the loss of legitimacy in the eyes of the stakeholders.Originality/valueThe article offers two contributions. First, it extends the literature by highlighting a spectrum of behavior displayed by IAs (coping with impending issues vs strategic purposefulness) during ERP-driven technological change. Second, the article contributes to the literature on legitimacy by highlighting four intertwined micro-processes – participating, socializing, learning and role-forging – that contribute to reconstructing the legitimacy of internal auditing.","PeriodicalId":45666,"journal":{"name":"Journal of Accounting Literature","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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