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What explains patterns in stock prices is an important question. One such pattern, price momentum, is a well-known capital markets anomaly where recent stock price performance appears to continue into the future. This momentum is frequently thought to reflect delayed reaction by investors to unspecified information (i.e. underreaction). This study aims to provide a useful insight regarding momentum: potential mispricing related to accounting fundamentals appears to conceal longer-term reversals in price momentum. Controlling for these fundamentals reveals that price momentum reverses, indicating that investor overreaction is a potentially important source of stock price momentum. The evidence presented in this study emphasizes the importance of decoupling momentum and accounting fundamentals to achieve a more complete understanding of what explains stock price momentum.

This study explores this question by examining the longer-term performance of momentum stocks in the US market after decoupling it from performance related to accounting fundamentals using returns to fundamentals-based factors as controls in time series regressions.

This study finds evidence of clear reversals in the remaining price momentum. These reversals provide a new insight into the momentum effect because they imply that the component of price momentum not traceable to accounting fundamentals reflects investor overreaction rather than underreaction.

The findings indicate that the underlying nature of the information driving price movements is important to achieving a complete understanding of what explains price momentum. To the best of the author’s knowledge, no other study has examined the behavior of stock price momentum while controlling for accounting fundamentals.

This study aims to compare the fundamental indexation (FI) portfolio vis-à-vis the cap-weighted index (CWI). It also explored the return-generating attributes of the FI portfolios.

This study extracted relevant data from the Centre for Monitoring Indian Economy’s Prowess database from March 1996 to March 2017 from a sample of National Stock Exchange (NSE) 500 companies. The FI portfolios were constructed with First_50 and Next_50 stocks using the latest and five years of trailing average aggregations. Further, the regression technique was used to identify the return-generating attributes of FI portfolios.

It was found that the FI portfolios based on First_50 and Next_50 stocks outperformed the CWI (i.e. NSE_First_50 and NSE_Next_50) in the Indian capital market, and between the two, the FI portfolios based on Next_50 stocks were superior to the FI portfolios based on First_50 stocks. The cross-sectional superiority of FI portfolios is obvious if they are sorted according to four fundamentals, namely, total income, sales, operating cash flows and profit before depreciation interest tax and amortisation. The return-generating process of FI portfolios is well-explained by market premium followed by value premium and investment premium.

This study may enable portfolio managers and investors to measure FI portfolios’ superiority in the Indian capital market and identify the return-generating attributes of FI portfolios so that the loadings can be switched amongst different priced factors for higher yield. Further, this study extends the FI literature, providing evidence from one of the world’s fastest-growing economies.

To the best of the knowledge, this is amongst the first few studies to explore the performance of FI portfolios vis-à-vis CWIs in India, and to use Fama and French (2015) asset pricing models to understand the return-generating attributes of FI portfolios. It is also novel in the sense that it considers the FI portfolios for a longer duration, predating 1997 and coinciding with the inception of CWIs, namely, NSE_First_50 (inception: 1995) and NSE_Next_50 (inception: 1996), reducing the apprehensions of data-snooping biases.

The coronavirus disease 2019 (COVID-19) outbreak in the first quarter of 2020 has caused a severe decline in stock markets worldwide. While prior studies in developed markets found that workplace closure can negatively impact the capital market (e.g. Ozili and Arun, 2020), lesser is known about how it impacts emerging capital markets, which may have different characteristics and behaviour (Harjoto et al., 2021). Hence, this study seeks to uncover stock performance around workplace closure dates of firms incorporated in ASEAN countries and investigates the role of accounting fundamentals in mitigating workplace closure policy's effects on stock performances.

Using an event study methodology, the authors measure the cumulative abnormal returns (CARs) around workplace closure dates. The authors then use cross-sectional analysis to analyse whether the accounting fundamentals, specifically profitability, cash flow, and leverage, are associated with the CAR. This cross-sectional study involves 1,720 firms that are incorporated in the ASEAN countries.

This analysis indicates that, on average, ASEAN capital markets react negatively to workplace closure policies. The authors then find that the CARs around workplace closure dates are positively associated with the current ratios and are negatively associated with long-term debt ratios. This study’s results thus indicate that firms with a higher liquidity and a higher solvency experience a less adverse impact of the COVID-19 pandemic than other firms. The authors also find that the associations are more robust for (1) firms in industries more affected by COVID-19 and (2) firms located in countries with more severe cases. Additionally, contrary to this study’s expectation, the authors do not find meaningful associations between CARs around workplace closure dates and firms' cash flow from operation and profit respectively. This study’s results suggest that investors view prior performances related to firms' ability to generate operating cash flow and profit as less relevant to measure firm performance around the workplace closure event.

This study’s results contribute to studies examining fundamental accounting roles during the COVID-19 era, specifically in emerging economies. The findings are critical for investors in understanding the company fundamentals associated with stock price performance in emerging markets during the recent health-related crisis.

Most studies analysing cross-sectional differences in stock returns during the COVID-19 era focus on industry-level differences and use observations from developed markets (Sinagl, 2020; Ramelli and Wagner, 2020). Studies using firm-level analysis in emerging markets are still limited. The authors expand prior studies by using firm-level analysis that spans six countries in ASEAN.

The choice of accounting policies by a company has implications for the market’s understanding of corporate performance. Whilst the critical areas of choice may change over time with new developments and changes in standards, the underlying issue remains relevant. This paper examines the effect of accounting techniques upon the relationship between accounting variables and UK share prices.

This paper aims to examine the association between earnings quality and firm-specific return volatility for a large sample of Japanese manufacturing firms.

This archival research uses idiosyncratic volatility and asynchronicity as two analogous proxies for firm-specific return volatility to investigate its association with earnings quality.

Using idiosyncratic volatility and asynchronicity as two comparable proxies for firm-specific return volatility, the author finds contradictory results. The author relates this contradiction to another debate in accounting and finance literature about whether firm-specific return volatility captures firm-specific information or noise. Initially, the author obtains conflicting results because the systematic risk, one of the components of asynchronicity, is highly correlated with earnings quality. After controlling for the systematic risk, the author finds that higher earnings quality is associated with lower firm-specific return volatility. This finding is consistent with the noise-based explanation of firm-specific return volatility. The author also separates earnings quality into an innate component driven by economic fundamentals and a discretionary component driven by managerial discretionary behavior and finds that both components have significant impact on firm-specific return volatility but the innate component has significantly stronger effect than the discretionary component.

This is the first research study presenting evidence on the association between earnings quality and firm-specific return volatility in the Japanese setting. The findings of this paper are likely to contribute to the resolution of a well-known debate on whether firm-specific return volatility captures more firm-specific information being impounded in stock prices or noise in stock prices.

This study investigates the impact that software utilization may have on students' knowledge acquisition of the accounting cycle. Differences in knowledge acquisition are examined between three groups of students: those who completed an accounting case manually using the traditional pencil and paper approach, using software, and first manually and then using software. The main research question is: “To what extent does using computers to study the accounting cycle lead to better knowledge acquisition?” This paper aims to inform changes in accounting education.

The survey method was employed to collect information from accounting students in a Canadian business school. A total of 1,053 usable questionnaires were returned. Declarative knowledge and procedural knowledge are the theoretical underpinnings.

The results indicate that students who first completed the case manually and then completed the same case using accounting software experienced the best knowledge acquisition. This suggests that the best manner for students to acquire concrete knowledge of the accounting cycle is by completing cases using both methods. The results also indicate that students who completed the case using only the software experienced better knowledge acquisition than did students who completed the case only manually. This suggests that software can be effectively utilized and integrated in class to improve knowledge acquisition of accounting information systems.

Little investigation has been performed on the usefulness and impact accounting software utilization may have on students' level of learning. The findings may benefit students and faculty members by helping in curriculum design changes, course design, and computer implementation decisions. The findings of this study have the potential to make a difference in the way that educators teach and business students learn. Business education may be improved by the judicious use of software in the classroom.

This paper examines the profitability and performance measurement of U.S. regional banks during the period 1994–2011, using the GMM estimator technique. Our study extends prior research by including several factors not previously considered using U.S. data.

We use bank-specific, industry-specific, and macroeconomic determinants of profitability contemporaneous with our performance indicators. We follow the accounting fundamental analysis path in explaining the bank performance.

Among the performance measures, the efficiency ratio and provisions for credit losses are negatively and equity scaled by assets is positively related to profitability. However, these relationships either reverse (efficiency ratio and provisions for credit losses) or become insignificant (equity scaled by assets) when the target becomes change in profitability. The level of nonperforming assets is negatively related to profitability across all measures of profitability used. Macroeconomic variables are largely unrelated to profitability during the year they are measured. However, they have a significant relationship with earnings change measures, suggesting they have a lagged effect on profitability. The slope of the yield curve is especially strong in this regard.

We use our determinants to model changes in bank profitability one year ahead, in addition to including several factors not previously considered, using the predictive focus of the fundamental analysis research.