Can Warren Buffett forecast equity market corrections?

Warren Buffett suggested that the ratio of the market value of all publicly traded stocks to the Gross National Product could identify potential overvaluations and undervaluations in the US equity market when this ratio deviates above 120% or below 80%. We investigate whether this ratio is a statistically significant predictor of equity market corrections and rallies. We find that Buffett's decision rule does not deliver satisfactory forecasts. However, when we adopt a time-varying decision rule, the ratio becomes a statistically significant predictor of equity market corrections. The two time-varying decision rules are: (i) predict an equity market correction when the ratio exceeds a 95% one-tail confidence interval based on a normal distribution, and (ii) predict an equity market correction when the ratio exceeds a threshold computed using Cantelli's inequality. These new decision rules are robust to changes in the two key parameters: the confidence level and the forecasting horizon. This paper also shows that the MV/GNP ratio performs relatively well against the four most popular equity market correction models, but the ratio is not a particularly useful predictor of equity market rallies.     

Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years

We commemorate the 50th anniversary of Ball and Brown [1968] by chronicling its impact on capital market research in accounting. We trace the evolution of various research paths that post–Ball and Brown [1968] researchers took as they sought to build on the foundation laid by Ball and Brown [1968] to create a body of research on the usefulness, timeliness, and other properties of accounting numbers. We discuss how those paths often link back to the groundwork laid and questions originally posed in Ball and Brown [1968].     

Assessing qualitative similarities between financial reporting frameworks using visualization and rules: COREP vs. pillar 3

Financial institutions are struggling with larger volume, more specific and greater frequency of regulatory reporting after the global financial crisis in 2008, especially those that need to report to multiple jurisdictions. To help to improve reporting efficiency, this paper aims to assess the existence of similarities between templates related to credit and counter party credit risk of COREP and Pillar 3 regulatory reporting frameworks by applying Correspondence Analysis and Association Rules Mining. Our results suggest a high degree of overlap between these reporting frameworks, more prominently the three business functions as Front office, Finance and Risk. These patterns can be used as guidance for financial institutions to reshape their reporting architecture.     

How do valuations impact outcomes of asset sales with heterogeneous bidders?

Differences among bidder type-specific outcomes of asset sales are theoretically related to differences in bidders’ valuations and participation. The lead application to quantify these relations is takeover auctions: bidders are classified into strategic and financial, and bids are available. I structurally estimate valuations from all bids. The positive difference in premiums between strategic and financial acquirers is driven by the difference in dispersions of valuations (e.g., strategic bidders’ synergies are more dispersed) and the set of auction participants. The difference in average valuations is relatively unimportant. My approach can help explain outcomes of asset sales, even in settings with limited bidder data.     

Trade credit and supplier competition

This paper examines how competition among suppliers affects their willingness to provide trade credit financing. Trade credit extended by a supplier to a cash constrained retailer allows the latter to increase cash purchases from its other suppliers, leading to a free rider problem. A supplier that represents a smaller share of the retailer’s purchases internalizes a smaller part of the benefit from increased spending by the retailer and, as a result, extends less trade credit relative to its sales. In consequence, retailers with dispersed suppliers obtain less trade credit than those whose suppliers are more concentrated. The free rider problem is especially detrimental to a trade creditor when the free-riding suppliers are its product market competitors, leading to a negative relation between product substitutability among suppliers to a given retailer and trade credit that the former provide to the latter. We test the model using both simulated and real data. The estimated relations are consistent with the model’s predictions and are statistically and economically significant.     

Are accounting academics culturally intelligent?: An empirical investigation

Cultural diversity within accounting university classrooms creates a number of educational challenges that have been little investigated. This study draws on the theoretical framework of cultural intelligence (CQ), which is new to accounting research, to enhance understanding of the intercultural capabilities of accounting academics. CQ is comprised of four interrelated capabilities: metacognitive, cognitive, motivational and behavioural. The previously validated cultural intelligence scale (CQS) survey was used to identify CQ levels and results were compared to demographic variables and other factors in order to explain differences. The results indicate that accounting academics display levels of CQ at the lower end of comparable studies on other professionals. Results also show that academics who have lived abroad for longer than one year and who have taught transnationally in Southeast Asia are likely to possess significantly higher levels of total CQ. Female accounting academics are more likely to possess higher levels of behavioural CQ indicating a propensity to more easily adapt their behaviour in culturally diverse situations. This paper contributes to the growing literature on CQ by increasing our understanding of the antecedents that influence CQ levels in the area of international experience, through the examination of the potential impact of overseas teaching experiences and overseas residency. Furthermore, this study introduces and examines new measures capturing the breadth and depth of international experience; that of long-term overseas residency and cultural distance.     

How Crashes Develop: Intradaily Volatility and Crash Evolution

This paper explores whether affine models with volatility jumps estimated on intradaily S&P 500 futures data over 1983 to 2008 can capture major daily outliers such as the 1987 stock market crash. Intradaily jumps in futures prices are typically small; self‐exciting but short‐lived volatility spikes capture intradaily and daily returns better. Multifactor models of the evolution of diffusive variance and jump intensities improve fits substantially, including out‐of‐sample over 2009 to 2016. The models capture reasonably well the conditional distributions of daily returns and realized variance outliers, but underpredict realized variance inliers. I also examine option pricing implications.     

YOLO: Mortality Beliefs and Household Finance Puzzles

We study the effect of subjective mortality beliefs on life‐cycle behavior. With new survey evidence, we document that survival is underestimated (overestimated) by the young (old). We calibrate a canonical life‐cycle model to elicited beliefs. Relative to calibrations using actuarial probabilities, the young undersave by 26%, and retirees draw down their assets 27% slower, while the model's fit to consumption data improves by 88%. Cross‐sectional regressions support the model's predictions: Distorted mortality beliefs correlate with savings behavior while controlling for risk preferences, cognitive, and socioeconomic factors. Overweighting the likelihood of rare events contributes to mortality belief distortions.     

Implications of biased reporting: conservative and liberal accounting policies in oligopolies

We examine the effects of biased (conservative or liberal) reporting on product market competition. Cournot duopolists observe either firm-specific or industry-wide shocks and provide noisy reports subject to an exogenous mandated bias attributed to public policy. Given neutral prior beliefs, either a conservative bias or a liberal bias enhances overall reporting-system informativeness as measured by the reduction of uncertainty. Consistent with previously established effects in the information sharing literature regarding increases in informativeness, we show that expected industry profits and expected consumer surplus may gain or lose from bias, depending on whether the shocks are firm-specific or industry-wide and the degree of product competition. Expected social welfare, however, always increases in bias, irrespective of the source of uncertainty and product substitutability or complementarity. We next consider a setting where firms self-select whether to bias reports and characterize regions of potential conflict with a public policy that maximizes expected social welfare. Further results on the differential effects of conservative or liberal bias follow from relaxing the assumption of neutral prior beliefs.