Auditing regulations and bank shareholders’ wealth: An international analysis

This paper examines the ability of auditing regulation to protect bank shareholders’ wealth during the time of normal growth and during the 2007–2009 global financial crises. The study uses the bank regulation database available at the World Bank website. We select a sample of 2467 banks from 107 countries for the years 1999–2009. We perform multivariate regression analyses and find that while auditing regulations enhance bank equity prices in normal growth periods, there is no evidence that auditing regulations are associated with bank share prices during the period of financial crisis. We observe similar results for both developed and emerging countries and for the common and code law countries. Our results suggest an immediate need to strengthen audit regulations so that investor confidence is more likely to persist during periods of financial downturn.     

“My Country’s Future”: A Culture-Centered Interrogation of Corporate Social Responsibility in India

Companies operating and located in emerging economy nations routinely couch their corporate social responsibility (CSR) work in nation-building terms. In this article, I focus on the Indian context and critically examine mainstream CSR discourse from the perspective of the culture-centered approach (CCA). Accordingly, five main themes of CSR stand out: nation-building facade, underlying neoliberal logics, CSR as voluntary, CSR as synergetic, and a clear urban bias. Next, I outline a CCA-inspired CSR framework that allows corporate responsibility to be re-claimed and re-framed by subaltern communities of interest. I identify such resistive openings via interrogations of culture (I focus on oft-cited Gandhian ethics here), structure (State policy, organizational strategy, and global/local flows), and agency (subaltern reframing of institutional responsibility, engagement with alternative modes of agency, and deconstructive vigilance).     

On Lipschitz continuity of the iterated function system in a stochastic optimal growth model

This paper provides qualitative properties of the iterated function system (IFS) generated by the optimal policy function for a class of stochastic one-sector optimal growth models. We obtain, explicitly in terms of the primitives of the model (i) a compact interval (not including the zero stock) in which the support of the invariant distribution of output must lie, and (ii) a Lipschitz property of the iterated function system on this interval. As applications, we are able to present parameter configurations under which (a) the support of the invariant distribution of the IFS is a generalized Cantor set, and (b) the invariant distribution is singular.     

Extinction in common property resource models: an analytically tractable example

We discuss an analytically tractable discrete-time dynamic game in which a finite number of players extract a renewable resource. We characterize a symmetric Markov-perfect Nash equilibrium of this game and derive a necessary and sufficient condition under which the resource does not become extinct in equilibrium. This condition requires that the intrinsic growth rate of the resource exceeds a certain threshold value that depends on the number of players and on their time-preference rates.     

Skilled–unskilled wage inequality and offshore outsourcing with asymmetric adjustment costs

We present a model that can capture the effects of offshore outsourcing on the wedge between the wages of skilled and unskilled workers when costs of adjustment are asymmetric. We identify conditions under which offshore outsourcing activities widen the skilled–unskilled wage inequality in the presence of asymmetric adjustment costs. We show how a higher cost of adjustment in the import-competing sector can magnify the offshore outsourcing induced gap between the wages of the skilled and unskilled workers. We also demonstrate the sensitivity of the effects of offshore outsourcing, on the skilled–unskilled wage gap, to asymmetries in the costs of adjustment.     

SCENARIO GENERATION FOR OPERATIONAL RISK

Operational risk is an increasingly important area of risk management. Scenarios are an important modelling tool in operational risk management as alternative viable methods may not exist. This can be due to challenging modelling, data and implementation issues, and other methods fail to take into account expert information. The use of scenarios has been recommended by regulators; however, scenarios can be unreliable, unrealistic and fail to take into account quantitative data. These problems have also been identified by regulators such as Basel, and presently little literature exists on addressing the problem of generating scenarios for operational risk. In this paper we propose a method for generating operational risk scenarios. We employ the method of cluster analysis to generate scenarios that enable one to combine expert opinion scenarios with quantitative operational risk data. We show that this scenario generation method leads to significantly improved scenarios and significant advantages for operational risk applications. In particular for operational risk modelling, our method leads to resolving the key problem of combining two sources of information without eliminating the information content gained from expert opinions, tractable computational implementation for operational risk modelling, improved stress testing, what‐if analyses and the ability to apply our method to a wide range of quantitative operational risk data (including multivariate distributions). We conduct numerical experiments on our method to demonstrate and validate its performance and compare it against scenarios generated from statistical property matching for comparison. Copyright © 2013 John Wiley & Sons, Ltd.     

On the Phelps–Koopmans theorem

We examine whether the Phelps–Koopmans theorem is valid in models with nonconvex production technologies. We argue that a nonstationary path that converges to a capital stock above the smallest golden rule may indeed be efficient. This finding has the important implication that “capital overaccumulation” need not always imply inefficiency. Under mild regularity and smoothness assumptions, we provide an almost-complete characterization of situations in which every path with limit in excess of the smallest golden rule must be inefficient, so that a version of the Phelps–Koopmans theorem can be recovered. Finally, we establish that a nonconvergent path with limiting capital stocks above (and bounded away from) the smallest golden rule can be efficient, even if the model admits a unique golden rule. Thus the Phelps–Koopmans theorem in its general form fails to be valid, and we argue that this failure is robust across nonconvex models of growth.     

On Ramseyʼs conjecture

Studying a one-sector economy populated by finitely many heterogeneous households that are subject to no-borrowing constraints, we confirm a conjecture by Frank P. Ramsey according to which, in the long run, society would be divided into the set of patient households who own the entire capital stock and impatient ones without any physical wealth. More specifically, we prove (i) that there exists a unique steady state equilibrium that is globally asymptotically stable and (ii) that along every equilibrium the most patient household owns the entire capital of the economy after some finite time. Furthermore, we prove that despite the presence of the no-borrowing constraints all equilibria are efficient. Our results are derived for the continuous-time formulation of the model that was originally used by Ramsey, and they stand in stark contrast to results that – over the last three decades – have been found in the discrete-time version of the model.