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This paper documents the Government Accounting Standards Board (GASB) 34 literature, primarily in the areas of (1) accountability and improved reporting, (2) government-wide financial statements and accrual accounting and (3) infrastructure asset capitalization and the modified approach. The paper also evaluates the state of the research, recognizes implications for practice and standard setting, identifies knowledge gaps and proposes avenues for future research.

The authors identified the articles in this narrative review by searching Google Scholar and EBSCO for the years 2000 through 2023, using the keywords GASB 34, government-wide financial statements, government fund statements, infrastructure assets and modified approach.

This review finds that GASB 34 requirements improved accountability and reporting, but GASB can still make improvements. The addition of the MD&A section requirement improved readability but placed a burden on preparers. Analysis of government-wide statement research indicates that the accrual-based Statement of Net Assets provides value in credit decisions, while the accrual-based Statement of Activities does not. The research on infrastructure accounting requirements shows limited adoption of the modified approach and some comparability issues with choices involving capitalization thresholds, baselines and asset management systems (AMSs). Based on this review, the authors also present suggestions to further this line of research.

To the best of the authors’ knowledge, this is the first article that reviews over 20 years of GASB 34 related literature. The review and suggestions for future research are timely as GASB is in the process of reexamining some of GASB 34's requirements.

The purpose of this paper is to examine potential financial accounting treatments for cryptocurrencies, including the current guidance, and compare the benefits and shortcomings of each method. It proposes the introduction and use of an intangible asset revaluation model. The study aims to inform both standard setters and financial statement preparers of the most appropriate accounting treatment of this digital asset.

This paper uses an exploratory analysis and conceptualizes each technical treatment option. For each potential treatment, this paper describes the technical accounting guidance and financial statement implications. The study also uses an illustration to compare the outcomes of each treatment option.

This paper provides insights into the most appropriate financial accounting treatment of cryptocurrencies. Findings indicate the best option is an intangible asset revaluation model that allows firms to elect a fair value option and record fluctuations in market value to other comprehensive income. This model would improve the accuracy of asset numbers while maintaining the relevance of income amounts by preventing large gains or losses from fair value fluctuations from flowing through the income statement.

The number of firms that hold cryptocurrencies on their balance sheet remains small, thus the research is limited to anecdotal and expository analysis.

The study includes implications for accounting standard setters as they continue to deliberate the appropriate financial accounting treatment for cryptocurrencies. The study can inform the standard setting process and impact future authoritative guidance.

The use of cryptocurrency is extremely popular among individual investors and consumers. Updating accounting guidance on crypto can help support a robust crypto market through a useful, informative approach to measurement and reporting. This can also aid in improving the economic prosperity of crypto investors.

This paper fulfills an identified need to examine and understand appropriate accounting guidance for cryptocurrencies. Current guidance has been deemed ineffective and there is debate regarding the proper treatment moving forward. This paper contextualizes this debate and provides suggested solutions.

The purpose of this paper is to examine the impact of greater reporting prominence of translation results following Accounting Standard Update (ASU) 2011-05 on net investment (NI) hedging practice. The authors investigate the role of increased transparency on the decision to engage in NI hedging (participation), the degree of NI hedging (level) and the hedging vehicle choice.

This paper uses the Heckman two-stage procedure (Heckman, 1979) in the hedging choice analysis. In the first stage, the authors model the participation decision as a function of reporting transparency, translation results and other control variables. In the second stage, the authors include the Inverse Mills ratio from the first stage Probit to examine both the level and vehicle choice decisions.

When translation is reported more prominently, the authors find an increase in the level of NI hedging and a greater likelihood of debt as the hedging vehicle, but no evidence firms are more likely to hedge. Regardless of where translation results are reported, firms facing ongoing translation losses are more likely to hedge.

This paper examines S&P 500 firms in the years surrounding the effective date of ASU 2011-05. The findings suggest managers respond to the increase in reporting transparency by increasing hedging for long-term risk management purposes, supporting accounting authorities’ efforts to promote other comprehensive income information transparency. The results should hold for comparable firms with similar currency exposure, size and visibility, but may not apply to smaller firms with limited translation exposure. As only about a quarter of firms with translation exposure engage in NI hedging, the primary results are based on a relatively limited number of firms.

To the best of the authors’ knowledge, this is the first study that examines NI hedging behavior changes following ASU-2011-05. Second, the authors are the first to explore why firms are almost equally split between derivatives and debt as their exclusive hedging vehicle.

Prior research has documented inconclusive and/or mixed empirical evidence on the timing performance of hybrid funds. Their performance inferences generally do not efficiently control for fixed-income exposure, conditioning information, and cross-correlations in fund returns. This study examines the stock and bond timing performances of hybrid funds while controlling and accounting for these important issues. It also discusses the inferential implications of using alternative bootstrap resampling approaches.

We examine the stock and bond timing performances of hybrid funds using (un)conditional multi-factor benchmark models with robust estimation inferences. We also rely on the block bootstrap method to account for cross-correlations in fund returns and to separate the effects of luck or sampling variation from manager skill.

We find that the timing performance of portfolios of funds is neutral and sensitive to controlling for fixed-income exposures and choice of the timing measurement model. The block-bootstrap analyses of funds in the tails of the distributions of stock timing performances suggest that sampling variation explains the underperformance of extreme left tail funds and confirms the good and bad luck in the bond timing management of tail funds. We report inference changes based on whether the Kosowski et al. or the Fama and French bootstrap approach is used.

This study provides extensive and robust evidence on the stock and bond timing performances of hybrid funds and their sensitivity based on (un)conditional linear multi-factor benchmark models. It examines the timing performances in the extreme tails funds using the block bootstrap method to efficiently identify (un)skilled fund managers. It also highlights the sensitivity of inferences to the choice of testing methodology.

This study investigates the relation between ESG-driven investment strategies and the performance of infrastructure funds. More specifically, this study examines the impact of the different dimensions – environmental (E), social (S) and governance (G) – of the ESG profile of infrastructure funds on their performance.

To study the risk-return properties of infrastructure funds and the relationship with their ESG profiles, an econometric analysis is conducted, based on a sample of 180 listed, ESG-oriented infrastructure funds identified through Refinitiv Eikon.

The results show that infrastructure funds with more solid environmental investment policies experience a lower performance, while those with a stronger social orientation yield a superior performance. Governance-related investment policies seem trivial in determining the performance of these funds. Further analysis shows that ESG controversies have a negative impact on infrastructure funds' performance, whereas Emissions and Resource Use scores, both proxying for different elements under the environmental pillar, have opposite signs. Finally, the Community score has a positive impact on funds' performance consistent with the positive impact of the social pillar score. The study also provides a number of sub-sample analyses to shed light on the conditions under which each pillar has significant impact on funds’ performance.

First, infrastructure funds should choose the composition of their portfolio holdings in a way that the total return is not penalized by the prevalence of the tricky E aspects (compliance with environmental regulations) over the main benefits of the S dimension. Second, fund managers need to bet on infrastructures with an expected impact on the social pillar dimension such as those aimed at promoting the wealth of the local communities (e.g. hospitals, schools). Third, to strengthen the fund's social dimension, fund managers must increase the dollar amount of the assets under management to count on a higher firepower.

This study makes three contributions to literature. First, the ESG profiles of the infrastructure funds operating both at local and global level and their relationship with annual performance are studied. Second, the different dimensions of the ESG profile of infrastructure funds are investigated by measuring their impact on performance. Third, the study sheds light on some detailed but relevant aspects of this phenomenon by analyzing the breakdown of the ESG profile of infrastructure funds into four sustainability sub-scores capturing their efforts to reduce CO2 emissions, the use of polluting materials and to influence local communities as well their exposure to the risk of litigation due to the occurrence of ESG controversies. This study addresses the extent to which the adoption of ESG investment policies by the infrastructure funds have an impact on their performances.

Following the adoption of International Financial Reporting Standards (IFRS), firms are required to recognize gains or losses from investment property revaluation in the income statement, instead of equity in the balance sheet. This results in both a “materiality effect” (as auditors set a higher materiality level and require lower audit efforts) and a “cushion effect” (as revaluation gains serve as a cushion and reduce earnings manipulation incentives). Utilizing this unique setting, this study investigates whether the use of fair value measurement for investment property affects audit pricing before and after IFRS convergence in the Hong Kong real estate industry.

Using a sample of 78 real estate companies listed on the Hong Kong Stock Exchange in the pre-IFRS period (2001–2004) and the post-IFRS period (2005–2008), this study employs multivariate regression analyses to test the research hypotheses with respect to the association between investment property revaluation and audit fees and the role of corporate governance structures in the context of family control.

The empirical results suggest that audit fees decrease with revaluation gains or losses from investment property revaluation after IFRS convergence, but not before. Furthermore, the negative association is stronger in companies controlled by founders, with proportionally more independent directors on the board and with a smaller board size. This is consistent with the moderating effect of corporate governance.

The findings shed more light on the consequences of fair value accounting for non-financial assets and are of interest to regulators for assessing the benefits of the wide use of fair value measurement under IFRS in emerging markets, especially where the corporate ownership structure is typically controlled by founding families. This study also provides recommendations for the audit community to fully consider the impact of asset revaluation on audit procedures and audit pricing.

This study focuses on listed and over-the-counter (OTC) companies in the Taiwan Stock Exchange. It found that an increase in the ownership proportion of institutional investors (INs), including foreign investors, investment trusts, and dealers can enhance the informativeness of stock prices. The relationship between these factors follows an inverted U-shaped pattern, indicating that excessively high ownership ratios can actually lead to a decrease in the informativeness of stock prices. Additionally, increasing the ownership proportions of foreign investors and investment trusts can reduce the risk of stock price collapse, while dealers show no significant relationship in this regard. This study also reveals that the technical variable of the price deviation rate is an important explanatory factor for post-collapse returns. It is positively correlated with the magnitude of the price decline after a collapse, meaning that stocks with weaker pre-collapse performance experience larger post-collapse declines. When the data during the 2020 pandemic period are excluded, changes in foreign ownership ratios show a significant positive correlation with postcrash returns in both the long and short term. The significant correlation in the short term may be due to a high proportion of foreign ownership. Any reduction in this could put pressure on stock prices, and retail investors may follow suit and sell-off, using foreign investors as a reference. The significant correlation in the long term might be due to foreign investors themselves possibly also trying to avoid the pressure that their own short-term sell-offs could exert on stock prices. The changes in the ownership ratios of investment trusts and dealers indicate that medium and long-term changes have a significant impact on postcrash returns, while the changes in the major players' ownership show no significant correlation. When data from 2020 are included in the analysis, the significance of all INs decreases.

To propose a new investment-income valuation model by real options approach (ROA) for old community renewal (OCR) projects, which could help the government attract private capital's participation.

The new model is proposed by identifying the types of options private capital has in the OCR project, selecting the option model most suitable for private capital investment decisions, improving the valuation model through the triangular fuzzy numbers to take into account the uncertainty and flexibility, and demonstrating the feasibility of the calculation model through an actual OCR project case.

The new model can valuate OCR projects more accurately based on considering uncertainty and flexibility, compared with conventional methods that often underestimate the value of OCR projects.

The investment-income of OCR projects shall be re-valuated from the lens of real options, which could help reveal more real benefits beyond the capital growth of OCR projects, enable the government to attract private capital's investment in OCR, and alleviate government fiscal pressure.

The proposed OCR-oriented investment-income valuation model systematically analyzes the applicability of real option value (ROV) to OCR projects, innovatively integrates the ROV and the net present value (NPV) as expanded net present value (ENPV), and accurately evaluate real benefits in comparison with existing models. Furthermore, the newly proposed model holds the potential to be transferred to various social welfare projects as a tool to attract private capital's participation.

Purpose: Worldwide economies have been shattered by the alarming increase in Non-Performing Assets (NPAs) in Banking Sector. In India, the rise in NPA levels gives a clear insight into the health of industry and state. This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: Punjab National Bank (PNB), Bank of India (BOI), UCO Bank, Punjab and Sind Bank (PSB), HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.

Design/methodology/approach: The study utilised IBM SPSS version 20 application to carry out our statistical analysis of measures of central location (mean and median), measures of dispersion (standard deviation), to carry out the Kolmogorov–Smirnov test to check the normality of data, the Mann–Whitney U test (for two groups) for median comparison between private and public sector banks and the Kruskal–Wallis test (for more than two groups) for median comparison for more than two banks. p ≤0.01 and p ≤0.05 were the two-tailed significance level used for determining the significance of all statistical tests.

Findings: Trend analysis and statistical tests show that the trend in public sector banks to have NPAs is higher compared to private sector banks, and losses arising from NPA impact the banks’ profitability.

Practical implications: It is apparent that NPAs are a large threat to banks in India as it reflects the state of the Indian economy. The growth of the economic cycle is predominantly dependent on the smooth and profitable functioning of private and public sector banks. This current study focusses on and compares the impact of NPAs on the profitability of public and private sector banks. NPAs have grown exponentially more in the case of public sector banks than private sector banks, which has affected the former banks’ financial health and performance. Increases in the level of NPAs adversely affect the working style and long-term stability of public and private sector banks in the economy.

Social Implications: NPAs have a negative influence on the profitability of the banks as well as on the economic growth of the country too. However, it is recommended that management in the banking sector, particularly the public banks, should use various preventive and recovery strategies to reduce the risk of failure and to keep track of NPAs to stay safe.

Originality/value: This study aims to determine how NPAs in India impact the profitability of eight banks chosen from the public and private sectors; specifically: PNB, BOI, UCO Bank, PSB, HDFC Bank, Axis Bank, ICICI Bank, and Yes Bank; during the period 2009/2010 to 2017/2018.

The purpose of this paper is to examine how state ownership influences value of cash in an institutional environment supporting soft-budget constraint.

This study employs an interaction between state ownership and excess cash to examine how state ownership affects value of cash holdings based on Fama and French’s (1998) valuation model.

With a research data of 3,294 observations from 548 firms over the period 2009–2016, the authors find that state ownership is positively related to market value of cash. Moreover, this relationship is weaker in financially constrained firms.

Although prior studies document a consistently negative effect of state ownership on market value of cash holdings, the authors argue that this effect may still be opposite. When managers of high state ownership firms rely on soft-budget constraint and save less cash, outside investors with this information disadvantage may focus more on precautionary motive and transaction motive than agency costs of cash holdings. As a result, value of cash holdings in high state ownership firms is higher. This paper contributes to the literature on corporate liquidity policy in emerging markets with new evidence on the role of state ownership in market value of cash holdings.