How Leviathan Taxes

The Leviathan hypothesis remains a cornerstone of constitutional tax theory. Following Brennan and Buchanan's (1980) seminal contribution, the power to tax is often likened to a monopoly, and its use by a revenue-maximising government is said to obey the rules of optimal taxation theory. We revisit, and refine, this position, explaining its underpinnings and discussing the Leviathan solution in several well-known optimal taxation models. It turns out that the power to tax is not a perfect analogue of ordinary monopoly power and that the similarity between Leviathan and optimal taxation solutions hinges on the irrelevance of distributional weights.     

Cross-section dependence and the monetary exchange rate model – A panel analysis

This paper tackles the issue of cross-section dependence for the monetary exchange rate model in the presence of unobserved common factors using panel data from 1973 until 2007 for 19 OECD countries. Applying a principal component analysis we distinguish between common factors and idiosyncratic components and determine whether non-stationarity stems from international or national stochastic trends. We find evidence that the common factors are I(1) while the idiosyncratic components are I(0). This finding indicates that cross-member cointegration exists and non-stationarity in exchange rates and fundamentals is mainly driven by common international trends. We find evidence that the common factors of the exchange rates and fundamentals are cointegrated. In addition, the estimated long-run coefficients of this common international relationship are in line with the suggestions of the monetary model with respect to income and money.     

Hierarchy vs. partnership

Simple organizations, composed of operatives and one manager, may be organized as a hierarchy with the manager appropriating all profits or as a partnership with (say) equal shares of profits. Conditions on profitability and the optimal span of control are analyzed. Next, partnerships are considered and alternative incentives and distributions are compared. When partners are free to choose their time inputs, then a sufficiently high preference for leisure as against income will make a partnership more attractive even though it is less profitable.     

Deposit Insurance and Risk Management of the U.S. Banking System: What is the Loss Distribution Faced by the FDIC?

We examine the question of deposit insurance through the lens of risk management by constructing the loss distribution faced by the Federal Deposit Insurance Corporation (FDIC). We take a novel approach by arguing that the risk management problem faced by the FDIC is similar to that of a bank managing a loan portfolio, only in the FDIC’s case the risk arises from the potential for loss of the individual banks in its portfolio. We explicitly estimate the cumulative loss distribution of FDIC insured banks using two variations of the Merton model and find that reserves are sufficient to cover roughly 99.85% of the loss distribution, corresponding to about a BBB+ rating. However, under different stress scenarios (higher correlations, fat-tailed bank returns, increased loss severity) that level can be much lower: approximately 96% corresponding to about a B+ rating.JEL classification: G210, G280.Any views expressed represent those of the author only and not necessarily those of the Federal Reserve Bank of New York or the Federal Reserve System.     

Arrow's impossibility theorem

Summary It is the purpose of this article to give an exact formulation of Arrow's famous impossibility theorem and its proof. Although the results presented here are not new in the sense that the theorem is refuted or questionned, it may be of some interest especially for the reader who wants to get a more or less complete view of the argumentation leading up to the theorem. Special attention is paid to the logical structure of the argument in the conviction that a lot of misunderstanding exists about what Arrow and subsequent writers tried to say. By way of introduction to the central theme some remarks are made concerning the relation of the Arrow problem to welfare economics.The author would like to thank Mr. W. R. de Jong of the Department of Philosophy of the Free University for his valuable advice in the field of logic and in particular Keimpe Reitsma, student of economics at the Free University, for the extensive discussions which formed an indispensable element in realizing this article. Thanks are due also to two referees for their useful suggestions.During the preparation of this article I was Assistant Professor at the Faculty of Economics, Free University, Amsterdam, The Netherlands. At present I am with the Ministry for Social Affairs, Directorate for General Economic Affairs.     

Gold price dynamics and the role of uncertainty

This study focuses on the dynamics of the gold price against bonds, stocks and exchange rates based on a disaggregation of the underlying relationships across different frequencies applying a wavelet decomposition. To analyze joint extreme movements (i.e. tail dependence), we adopt a copula approach, which helps us to assess the dependence between the returns of gold and other assets in calm and turmoil market times and therefore the hedge and safe haven functions of gold. We also examine whether gold prices are directly affected by changes in macroeconomic uncertainty, economic policy uncertainty and/or CPI forecasters disagreement. Analyzing data for nine economies for a sample period starting in 1985, we find that the role of gold changes significantly after the collapse of Lehman Brothers in 2008. Gold is unable to serve as a hedge or safe haven in the classical sense while the findings for the period prior to 2008 mostly suggest that gold is able to shield investors. Uncertainty measures display a surprising and time-varying relationship with the path of the gold price. While economic policy uncertainty is positively correlated with gold price changes, macroeconomic uncertainty and inflation uncertainty among forecasters are both negatively related to gold price changes.     

Tail dependence between gold and sectorial stocks in China: perspectives for portfolio diversification

This article analyzes the relationship between gold quoted on the Shanghai Gold Exchange and Chinese sectorial stocks from 2009 to 2015. Using different copulas, our results show that there is weak but significant tail dependence between gold and Chinese sectorial stock returns. This means that the dependence between extreme movements of the two assets is not pronounced and confirms the role of gold as a safe haven asset. Based on analyzing the efficient frontier, CCC-GARCH optimal weights, hedge ratios and hedging effectiveness, we further show that adding gold into Chinese stock portfolios can help to reduce their risk. Gold appears to be the most efficient diversifier for stocks of the materials sector and the less efficient for the utilities sector. As a robustness check, we also compare gold to oil and indicate that gold is more efficient than oil in the diversification of Chinese stock portfolios.

     

Credit rating dynamics and Markov mixture models

Despite mounting evidence to the contrary, credit migration matrices, used in many credit risk and pricing applications, are typically assumed to be generated by a simple Markov process. Based on empirical evidence, we propose a parsimonious model that is a mixture of (two) Markov chains, where the mixing is on the speed of movement among credit ratings. We estimate this model using credit rating histories and show that the mixture model statistically dominates the simple Markov model and that the differences between two models can be economically meaningful. The non-Markov property of our model implies that the future distribution of a firm’s ratings depends not only on its current rating but also on its past rating history. Indeed we find that two firms with identical current credit ratings can have substantially different transition probability vectors. We also find that conditioning on the state of the business cycle or industry group does not remove the heterogeneity with respect to the rate of movement. We go on to compare the performance of mixture and Markov chain using out-of-sample predictions.