Evaluating quantile-bounded and expectile-bounded interval forecasts

In many different contexts, decision-making is improved by the availability of probabilistic predictions. The accuracy of probabilistic forecasting methods can be compared using scoring functions and insight provided by calibration tests. These tests evaluate the consistency of predictions with the observations. Our main agenda in this paper is interval forecasts and their evaluation. Such forecasts are usually bounded by two quantile forecasts. However, a limitation of quantiles is that they convey no information regarding the size of potential exceedances. By contrast, the location of an expectile is dictated by the whole distribution. This prompts us to propose expectile-bounded intervals. We provide interpretation, a consistent scoring function and a calibration test. Before doing this, we reflect on the evaluation of forecasts of quantile-bounded intervals and expectiles, and suggest extensions of previously proposed calibration tests in order to guard against strategic forecasting. We illustrate ideas using day-ahead electricity price forecasting.     

Real‐time detection of regimes of predictability in the US equity premium

We propose new real‐time monitoring procedures for the emergence of end‐of‐sample predictive regimes using sequential implementations of standard (heteroskedasticity‐robust) regression t‐statistics for predictability applied over relatively short time periods. The procedures we develop can also be used for detecting historical regimes of temporary predictability. Our proposed methods are robust to both the degree of persistence and endogeneity of the regressors in the predictive regression and to certain forms of heteroskedasticity in the shocks. We discuss how the monitoring procedures can be designed such that their false positive rate can be set by the practitioner at the start of the monitoring period using detection rules based on information obtained from the data in a training period. We use these new monitoring procedures to investigate the presence of regime changes in the predictability of the US equity premium at the 1‐month horizon by traditional macroeconomic and financial variables, and by binary technical analysis indicators. Our results suggest that the 1‐month‐ahead equity premium has temporarily been predictable, displaying so‐called “pockets of predictability,” and that these episodes of predictability could have been detected in real time by practitioners using our proposed methodology.     

The economics of misreporting and the role of public scrutiny

This paper examines how the ex ante level of public scrutiny influences a manager's subsequent decision to misreport. The conventional wisdom is that high levels of public scrutiny facilitate monitoring, suggesting a negative relation between scrutiny and misreporting. However, public scrutiny also increases the weight that investors place on earnings in valuing the firm. This in turn increases the benefit of misreporting, suggesting a positive relation. We formalize these two countervailing forces–“monitoring” and “valuation”–in the context of a parsimonious model of misreporting. We show that the combination of these two forces leads to a unimodal relation. Specifically, as the level of public scrutiny increases, misreporting first increases, reaches a peak, and then decreases. We find evidence of such a relation across multiple empirical measures of misreporting, multiple measures of public scrutiny, and multiple research designs.     

Public priorities and expectations of climate change impacts in the United Kingdom

Irrespective of the success of climate mitigation efforts, societies worldwide face the challenge of adapting to a changing climate. In this paper, we examine UK residents’ expectations of future threats and opportunities associated with climate change impacts, along with willingness to prioritise different climate change impacts for investment. Using a national survey (n = 2007), we report on three main findings. First, UK residents tend to expect threats related to flooding and wet weather to be more likely and concerning than heat extremes or opportunities. Second, UK residents’ expectations of climate change impacts do not align with expert assessments, especially showing lower estimates of heat-related threats as compared to experts. Third, willingness to allocate resources to potential climate change impacts tends to be more strongly associated with anticipated concern should they occur than climate change belief or the expected likelihood of them occurring. We discuss the implications of our findings for policies and communications about climate change adaptation in the UK and elsewhere.     

Some approximations of n-copulas

We consider several approximations to n-copulas: the checkmin, checkerboard, Bernstein, and shuffle of min approximations. The checkerboard, Bernstein, and shuffle of min approximations have been studied in the n = 2 case. We investigate these constructions in arbitrary finite dimensions and consider some of the ways in which they converge or fail to converge to the original copula.     

The determinants of reserves disclosure in the extractive industries: evidence from Australian firms

This paper examines the determinants of reserves disclosure (RD) in the Australian extractive industries. Our regression results indicate that RD are positively associated with variables relating to corporate governance, foreign listing, existence of reserves in foreign jurisdictions, pledging of reserves in debt covenants, leverage and external (Big 4) auditor, after controlling for firm size, subindustry, shareholder concentration and development/production stage. Additional regression testing shows that the existence of reserves in foreign jurisdictions is the most important determinant of RD in Australia. This paper contributes to a better understanding of the extent and rationale behind the RD practices of Australian resource firms.     

Using real-time electricity data to estimate response to time-of-use and flat rates: an application to emissions

Using a generalized McFadden specification, we estimate the determinants of hourly response for the years 2006 through 2010 for all 16 standard retail customers who were on an optional real-time electricity rate offered by Duke Energy as of 2010, and provide a method to estimate how these customers would respond to time-of-use (TOU) and flat rates. We generalize the model to allow for inter-day response, as well as threshold prices, above which individual customer response may increase or decrease. With these inclusions, we find hourly elasticity for the group of customers to be as large as ?0.7, larger than previous studies. We apply the method to examine a recent finding that time-differentiated rates could increase electric utility emissions. However, that result did not differentiate between real-time and TOU rates, and furthermore held energy use constant in comparing flat rates and time-differentiated rates. We perform a case study to examine emissions of SO₂, NOx, Hg, and CO₂ based on predicted energy use changes as well as for an energy-neutral case for real-time, TOU and flat rates. Employing energy use predictions from the model, increased energy use results in increased emissions in almost all cases. For the energy-neutral case, time-differentiated rates increase CO₂ as compared to flat rates, and the TOU rate causes a larger increase than does real-time pricing. But both rates decrease other emissions in the majority of years, particularly SO₂ In addition, time-differentiated rates reduce NOx potency by shifting it to non-daylight hours when conditions for the formation of smog are less favorable. Our application leads to the conclusion that the effect of the rates on emissions must consider total energy use as well as the shift from peak to off-peak. Furthermore, the predictions require consideration of the generating mix at a more detailed level than was contained in previous studies.     

Did securitization affect the cost of corporate debt?

This paper investigates whether the securitization of corporate bank loan facilities had an impact on the price of corporate debt. Our results suggest that loan facilities that are subsequently securitized are associated with a 17 basis point lower spread than that of facilities that are not subsequently securitized. We consider facility characteristics that are associated with the likelihood of securitization and estimate the extent to which these characteristics are related to spreads. We document that Term Loan B facilities, facilities of B-rated firms, and facilities originated by banks that originate CLOs are securitized more frequently than other facilities. Spreads on facilities estimated to be more likely to be subsequently securitized have lower spreads than otherwise similar facilities. The results are consistent with the view that securitization caused a reduction in the cost of capital.     

A test of the auditor reliability framework using lenders’ judgments

Taylor et al. (2003) challenged the longstanding notion that independence is the capstone of the audit profession by proposing a conceptual framework that emphasizes reliability, rather than independence, as the professional endgame for auditors. Although the reliability framework has attracted attention from policymakers, it has not been tested empirically in an audit context to assess its validity from a user’s perspective. The objective of this study is to test the auditor reliability framework and its formative ethical constructs (i.e., integrity, expertise, independence, objectivity, and reliability) with a sample of 168 commercial lenders. We also extend the reliability framework to examine the extent that perceived auditor reliability affects lenders’ judgments of financial reporting reliability and default risk in a hypothetical lending scenario. Finally, we evaluate the extent that lenders’ judgments are affected by auditor provision of nonaudit bookkeeping and payroll services to a prospective borrower in violation of current independence rules. The results provide strong empirical support for the relations predicted in the reliability framework. Structural equation model results indicate that auditor integrity is the foundation of the framework, directly affecting lenders’ assessments of auditor expertise, independence, objectivity, and reliability. Further, although integrity and objectivity directly affect perceived auditor reliability, independence and expertise only affects reliability indirectly through its impact on objectivity. Finally, we find that lenders perceive no decrease in auditor objectivity or reliability when existing independence rules are violated by combining audit services with nonaudit services for prospective borrowers.