Inequality‐averse well‐being measurement

We construct individual well‐being measures that respect individual preferences and depend on the bundles of goods consumed by the individual. Building on previous work in which general families of well‐being measures are identified, we introduce basic transfer principles that apply either to bundles or directly to indifference sets, and we characterize specific well‐being measures that involve either the ray utility or the money‐metric utility.     

Industry‐specific Exchange Rate Fluctuations,Japanese Exports and Financial Constraints: Evidence from Panel Vector Autoregressive Analysis

Using a panel vector autoregression approach and industry breakdown data for financial constraints obtained from the Bank of Japan's Tankan (Short‐Term Economic Survey of Enterprises in Japan) database, this study empirically investigates whether and how Japanese firms' financial constraints (internal and external) influence the response of Japanese sectoral exports to an exchange rate shock. Furthermore, we use the industry‐specific real effective exchange rate data developed by to allow for different movements of real effective exchange rates across industries. It is found that financial constraints have a significant influence on Japanese exports in response to exchange rate shocks. Japanese exporters with either lower internal financial constraints or external financial constraints are less affected by the yen's appreciation. In addition, if firms face high external financial constraints, only reducing the internal financial constraints cannot help them mitigate the impact of the yen's appreciation on their exports. Thus, an accommodative financial environment also plays an important role in alleviating the impact that the yen's appreciation has on Japanese exports.     

Extreme Uncertainty and Forward‐looking Disclosure Properties

This study investigates the effect of extreme uncertainty on disclosure behaviour by analyzing the quality and quantity of forward‐looking disclosures during the global financial crisis and pre‐crisis periods, controlling for other determinants of disclosure behaviour. Prior research has struggled to distinguish between the quality and quantity dimensions of forward‐looking disclosures. Also, the impact of the recent financial crisis on these forward‐looking disclosure attributes has not yet been examined systematically. We address this gap by exploiting the unique setting of German publicly traded firms. These firms must provide forward‐looking information within their audited financial statements, although relevant regulation is sufficiently vague to allow great variation in the quality, scope and quantity of forward‐looking disclosures actually observed. Using hand‐collected data from 2005 to 2009, we provide evidence of a significantly negative association between crisis and disclosure quality. This finding is robust to several different disclosure quality proxies and regression specifications. In contrast, we find no negative significant relation between crisis and disclosure quantity; rather, there is evidence that reported volume increases during the crisis. Our results are consistent with extreme uncertainty, as occurring during times of crisis, negatively affecting the quality of voluntary disclosures, while firms maintain or increase disclosure quantity, ultimately diluting the information density of forward‐looking disclosures.     

The Effects of Regulating Hidden Add‐On Costs

We examine the welfare effects of price and disclosure regulation in a model where firms can shroud add‐on costs, such as penalty fees for consumer financial products. Such regulation can increase or decrease welfare even when there are no direct costs. There are, however, strong complementarities between price controls and disclosure mandates: conditional on disclosure being mandated, price controls always (weakly) increase welfare, and conditional on prices being sufficiently constrained, disclosure mandates always (weakly) increase welfare.     

Rational Inattention in Uncertain Business Cycles

The paper proposes endogenous information choice as a channel through which uncertainty affects price dynamics. I consider a rational inattention model with volatility uncertainty and endogenous information processing capability. According to the model, firms' learning and optimal attention exhibits inertia and asymmetry in response to volatility changes. Firms choose to process more information when uncertainty rises, especially about aggregate conditions, and their pricing behavior changes accordingly. Using a Markov‐switching factor‐augmented vector autoregression (MS‐FAVAR), the paper also documents a significant positive correlation between volatility and firms' responsiveness to macro‐ and microlevel shocks, consistent with model predictions.     

The Role of U.S. Market on International Risk‐Return Tradeoff Relations

We study the intertemporal risk‐return tradeoff relations based on returns from 18 international markets. We find striking new empirical evidence that the inclusion of U.S. market returns significantly changes the estimated risk‐return tradeoff relations in international markets from mostly negative to predominantly positive. Our results are consistent with the lead‐lag effect between U.S. and international markets in the sense of Rapach, Strauss and Zhou.     

Differentiated regulation: the case of charities

The increasing number and influence of charities in the economy, evidence of mismanagement and the need for information for policymaking are all reasons for establishing charity regulators. Public interest and public choice theories explain charity regulation which aims to increase public trust and confidence in charities (and thus increase voluntarism and philanthropy) and to limit tax benefits to specific organisations and donors. Nevertheless, regulation is resource intensive, and growing pressure on government budgets requires efficiencies to be found. This study proposes regulation differentiated according to charities' main resource providers, to reduce costs and focus regulatory effort, and provides a feasible segmentation.     

The role of managerial risk‐taking in the ‘rise and fall’ of the CDS market

Since the innovation of credit default swaps (CDSs) in 1997, the market for CDSs grew dramatically to $62 trillion in 2007 (ISDA 2010). However, this market declined significantly with the onset of the GFC, prompting the question, ‘What lies behind the phenomenal growth and the eventual collapse of the CDS market?’ Using CDS spread data from 319 bank and non‐bank financial institutions across 33 countries over the period 2001–2010, I provide evidence of the determinants that affect risk‐taking by financial institutions, proxied by CDS spreads, and argue within an agency theoretical framework that managerial risk‐taking contributed to the ‘rise and fall’ of the CDS market.     

Effect of the ban on short selling on market prices and volatility

We examine the effects of the short‐selling ban, imposed by Australian regulators in the wake of the global financial crisis, on the trading of financial stocks. Our findings argue against commonly stated reasons for imposing short‐sale bans. We find no evidence that short‐sale restrictions provide support for stock prices or that they reduce volatility. Moreover, stocks subject to the short‐selling ban suffered a severe degradation in market quality. Controlling for the adverse effects of the financial crisis on markets, we show that short‐selling restrictions increase intraday volatility, reduce trading activity and increase bid–ask spreads.     

Does the bond‐stock earnings yield differential model predict equity market corrections better than high P/E models?

We extend the literature on crash prediction models in three main ways. First, we explicitly relate crash prediction measures and asset pricing models. Second, we present a statistical significance test for crash prediction models. Finally, we propose a definition and a measure of robustness for these models. We apply our statistical test and measure the robustness of selected model specifications of the Price‐Earnings (P/E) ratio and Bond Stock Earning Yield Differential (BSEYD) measures. This analysis shows that the BSEYD and P/E ratios, were statistically significant robust predictors of corrections on the US equity market over the period 1964 to 2014.