Arbitrage‐free XVA

We develop a framework for computing the total valuation adjustment (XVA) of a European claim accounting for funding costs, counterparty credit risk, and collateralization. Based on no‐arbitrage arguments, we derive backward stochastic differential equations associated with the replicating portfolios of long and short positions in the claim. This leads to the definition of buyer's and seller's XVA, which in turn identify a no‐arbitrage interval. In the case that borrowing and lending rates coincide, we provide a fully explicit expression for the unique XVA, expressed as a percentage of the price of the traded claim, and for the corresponding replication strategies. In the general case of asymmetric funding, repo, and collateral rates, we study the semilinear partial differential equations characterizing buyer's and seller's XVA and show the existence of a unique classical solution to it. To illustrate our results, we conduct a numerical study demonstrating how funding costs, repo rates, and counterparty risk contribute to determine the total valuation adjustment.     

EU data protection reform: Opportunities and concerns

Last year, the European Commission proposed a comprehensive reform of the EU’s data protection rules. The proposed regulation has been surrounded by fi erce controversy and has been the subject of frenzied lobbying by global corporations, industry groups, research centres and privacy campaigners on both sides of the Atlantic. This Forum applies cool economic reasoning to this heated issue. What are the potential economic benefi ts of EU harmonisation? Will the proposed regulation negatively impact the competitiveness and innovation of European fi rms in the global marketplace? Or could it jeopardise attempts to protect privacy as a fundamental right in civil societies?     

An Arrears Crisis and Stabilization Failure in a Transition Economy

The paper addresses the problem of the arrears crises in transition economies using a war-of-attrition type dynamic game of incomplete information. Analysis of the sequential equilibrium of the game reveals how a representative firm's perception of the government's ability to enforce adjustment to the announced stabilization program affects the firm's decision whether to adjust or to postpone adjustment and fall into arrears. An extension of the basic model is used to explore the opportunity for the government to signal its commitment to a tight monetary policy by applying for an IMF loan.J. Comp. Econom., December 2000, 28(4), pp. 665–699. University of Alberta, Edmonton, Alberta T6G 2H4, Canada.     

Conformity and Distinctiveness in a Global Institutional Framework: The Legitimation of Ontario Fine Wine

The study investigates how local actors pursue two paradoxical aspects of legitimacy in a global institutional framework: the need for global conformity and the need for local distinctiveness. Drawing on the notion of glocalization, it explicates how this pursuit is accomplished by actors' selective fidelity to global norms and adaptation of these norms to local conditions. The empirical work consists of a five‐year qualitative case study of the Ontario wine industry. It provides empirical evidence for the presence of several non‐mutually exclusive paths through which local actors seek legitimation in a global context. The study offers important implications for future research on legitimation and globalization.     

Monetary policy arithmetic: reconciling theory with evidence

Abstract.  Empirical evidence indicates that, in countries with low inflation rates, a permanent decrease in inflation rate either has no impact on capital stock and output (superneutrality) or causes them to fall moderately. Existing budget arithmetic models of monetary policy cannot deliver superneutrality. In this paper, we conduct a budget arithmetic analysis of monetary policy using a money demand specification – money in the utility function – that is new to this literature. We find that one simple assumption about utility from money delivers superneutrality, while a more general assumption delivers departures from superneutrality in the direction consistent with the evidence. JEL classification: E60, E13     

The UK equity market around the ex-split date

Using UK stock market data this study unveils positive abnormal returns on and around the ex-split date. These excess returns are partially predictable using the publicly available information prior to the ex-split date. There is also a persistent increase in the post-split volatility of these stocks with the results being robust to the choice of the volatility proxy. Post-split volatility is found to be positively related to trading activity. Contrary to the US findings, volatility dynamics following the stock split are better captured by changes in the daily trading volume rather than by the number of trades.     

The role of environmental innovation through the technological proximity in the implementation of the sustainable development

This paper explores the relationship between a firm's knowledge sourcing strategy and green innovation. The data are taken from Organisation for Economic Cooperation and Development REGPAT database, February 2016, relative to the European Patent Office firms' patent applications published up to December 2015. The study contributes to the literature by focusing on the moderating role of integration between different activities related to environmental performance on the relationship between knowledge sources and green innovations. The results from 240 firms indicate a shift in the focus from internal knowledge to external knowledge when developing environmental innovations. Government policies promoting more knowledge complementarity and coordination between environmental fields will help to promote more knowledge transfer, allowing more sustainable development.     

Inflation ambiguity and the term structure of U.S. Government bonds

Variations in trend inflation are the main driver for variations in the nominal yield curve. According to empirical data, investors observe a set of empirical models that could all have generated the time-series for trend inflation. This set has been large and volatile during the 1970s and early 1980s and small during the 1990s. I show that log utility together with Knightian uncertainty about trend inflation can explain the term premium in U.S. Treasury bonds. The equilibrium has two inflation premiums, an inflation risk premium and a Knightian inflation ambiguity premium.     

Pricing a contingent claim liability with transaction costs using asymptotic analysis for optimal investment

We price a contingent claim liability (claim for short) using a utility indifference argument. We consider an agent with exponential utility, who invests in a stock and a money market account with the goal of maximizing the utility of his investment at the final time T in the presence of a proportional transaction cost ε>0 in two cases: with and without a claim. Using the heuristic computations of Whalley and Wilmott (Math. Finance 7:307–324, 1997), under suitable technical conditions, we provide a rigorous derivation of the asymptotic expansion of the value function in powers of \(\varepsilon^{\frac{1}{3}}\) in both cases with and without a claim. Additionally, using the utility indifference method, we derive the price of the claim at the leading order of \(\varepsilon^{\frac{2}{3}}\) . In both cases, we also obtain a “nearly optimal” strategy, whose expected utility asymptotically matches the leading terms of the value function. We also present an example of how this methodology can be used to price more exotic barrier-type contingent claims.     

Optimal investment with correlated stochastic volatility factors

The problem of portfolio allocation in the context of stocks evolving in random environments, that is with volatility and returns depending on random factors, has attracted a lot of attention. The problem of maximizing a power utility at a terminal time with only one random factor can be linearized thanks to a classical distortion transformation. In the present paper, we address the situation with several factors using a perturbation technique around the case where these factors are perfectly correlated reducing the problem to the case with a single factor. Our proposed approximation requires to solve numerically two linear equations in lower dimension instead of a fully nonlinear HJB equation. A rigorous accuracy result is derived by constructing sub- and super-solutions so that their difference is at the desired order of accuracy. We illustrate our result with a particular model for which we have explicit formulas for the approximation. In order to keep the notations as explicit as possible, we treat the case with one stock and two factors and we describe an extension to the case with two stocks and two factors.