A Holy Alliance: Collusion in the Renaissance Europe Alum Market

On June 11, 1470, representatives of Pope Paul II and Ferdinand, King of Naples concluded a cartel agreement to restrict competition in the sale of alum. The agreement was one element of a broader plan to monopolize the sale of alum throughout Christendom. We discuss the background of the cartel agreement and analyze its terms (which include arrangements to facilitate detection of and reduce the profitability of defection) and the constraints that limited, but did not eliminate, Rome’s ability to extract economic profit from the European alum market.     

Great Recession and Macroeconomic Theory: A Useless Crisis?

ABSTRACT

The global financial crisis of 2007–08 and the subsequent Great Recession have pushed many economists to acknowledge a fundamental limit in the theoretical models elaborated after the monetarist counter-revolution: these models disregard the financial system. The years following the Great Recession have thus been marked by the development of what can be called the ‘Financial Frictions Approach’, a theoretical approach based on the addition of the financial system to the New Keynesian DSGE model. The results of this line of research are beginning to appear also in macroeconomics textbooks. Significant examples are the publication of the seventh edition of Blanchard’s textbook, and the publication of the third edition of the textbook co-authored by Blanchard, Amighini and Giavazzi. The objective of this work is twofold: (i) to show that the new model presented by Blanchard, Amighini and Giavazzi, which reflects the results of the ‘Financial Frictions Approach’, does not allow to elaborate a coherent explanation of the Great Recession and (ii) to present the pillars of an alternative theoretical model based on the lessons of Keynes, Schumpeter and Minsky.     

Testing for the omission of relevant variables and regime-switching misspecification

Empirical Economics - This article shows that the interpretation of statistical evidence of regime-switching is not unambiguous. The usual interpretation is that some parameters switch according to...     

Randomised Mixture Models for Pricing Kernels

Numerous kinds of uncertainties may affect an economy, e.g. economic, political, and environmental ones. We model the aggregate impact by the uncertainties on an economy and its associated financial market by randomised mixtures of Lévy processes. We assume that market participants observe the randomised mixtures only through best estimates based on noisy market information. The concept of incomplete information introduces an element of stochastic filtering theory in constructing what we term “filtered Esscher martingales”. We make use of this family of martingales to develop pricing kernel models. Examples of bond price models are examined, and we show that the choice of the random mixture has a significant effect on the model dynamics and the types of movements observed in the associated yield curves. Parameter sensitivity is analysed and option price processes are derived. We extend the class of pricing kernel models by considering a weighted heat kernel approach, and develop models driven by mixtures of Markov processes.     

Designing business models in circular economy: A systematic literature review and research agenda

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.     

The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment

Microfinance targets women and uses loan provision as a tool for empowerment, which translates into better household nutrition, improved education, and a scale down of domestic violence. However, ethnic discrimination in microfinance may exist in countries with a segregated indigenous population. We assessed this possibility with a field experiment in Bolivia. The controlled laboratory experiment evaluated whether credit officers rejected microloan applications based on the interaction effect of ethnicity and gender of potential borrowers. Point estimates of a Bayesian mixed‐effects logistic regression, estimated with the experimental data, indicate that nonindigenous women have double the chance of loan approval, but indigenous women have only 1.5 times the chance of loan approval when compared with men. While the findings about gender are limited, the evidence for the interaction of gender and ethnicity is more robust and suggests the existence of positive taste‐based discrimination favorable for nonethnic women in Bolivia. We conclude that the affirmative actions towards women promoted by development agencies and microfinance institutions must not overlook ethnicity as an important factor for financial policies of sustainable development. In practice, these policies should be aimed at identifying and reducing both social desirability bias and the structural barriers to financial inclusion that indigenous women may face when trying to obtain access to a loan.     

Trade shocks,product mix adjustment and productivity growth in Italian manufacturing

In this paper, we use firm-level data on the universe of Italian manufacturing multi-product exporters to test whether demand shocks in export markets lead multi-product exporters to increase their productivity. The main mechanism behind the documented productivity gains is the reallocation of resources across products within firms (American Economic Review, 104, 2014 and 495; National Bureau of Economic Research Working Paper Series No. 22433, 2016). Intuitively, the increased demand stemming from foreign markets will induce firms to adjust their product mix by moving inputs from low to high productive/profitable uses. We find that these productivity gains are significant and can explain between 1/10 and 1/2 of aggregate productivity growth in the manufacturing sector.     

Climate Change and Asset Prices: Are Corporate Carbon Disclosure and Performance Priced Appropriately?

This paper empirically assesses the relevance of information on corporate climate change disclosure and performance to asset prices, and discusses whether this information is priced appropriately. Findings indicate that corporate disclosures of quantitative greenhouse gas (GHG) emissions and, to a lesser extent, carbon performance are value relevant. We use hand‐collected information on quantitative GHG emissions for 433 European companies and build portfolios based on GHG disclosure and performance. We regress portfolios on a standard four factor model extended for industry effects over the years 2005 to 2009. Results show that investors achieved abnormal risk‐adjusted returns of up to 13.05% annually by exploiting inefficiently priced positive effects of (complete) GHG emissions disclosure and good corporate climate change performance in terms of GHG efficiency. Results imply that, firstly, information costs involved in carbon disclosure and management do not present a burden on corporate financial resources. Secondly, investors should not neglect carbon disclosure and performance when making investment decisions. Thirdly, during the period analysed, financial markets were inefficient in pricing publicly available information on carbon disclosure and performance. Mandatory and standardised information on carbon performance would consequently not only increase market efficiency but result in better allocation of capital within the real economy.     

ARBITRAGE‐FREE BILATERAL COUNTERPARTY RISK VALUATION UNDER COLLATERALIZATION AND APPLICATION TO CREDIT DEFAULT SWAPS

We develop an arbitrage‐free valuation framework for bilateral counterparty risk, where collateral is included with possible rehypothecation. We show that the adjustment is given by the sum of two option payoff terms, where each term depends on the netted exposure, i.e., the difference between the on‐default exposure and the predefault collateral account. We then specialize our analysis to credit default swaps (CDS) as underlying portfolios, and construct a numerical scheme to evaluate the adjustment under a doubly stochastic default framework. In particular, we show that for CDS contracts a perfect collateralization cannot be achieved, even under continuous collateralization, if the reference entity’s and counterparty’s default times are dependent. The impact of rehypothecation, collateral margining frequency, and default correlation‐induced contagion is illustrated with numerical examples.