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2008 (10)

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Book
Power Laws in Economics and Finance
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Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance
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Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Variable rare disasters: an exactly solved framework for ten puzzles in macro-finance
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Year: 2008 Publisher: Cambridge, Mass. NBER

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Power laws in economics and finance
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Year: 2008 Publisher: Cambridge, Mass. NBER

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Rare disasters and exchange rates
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Year: 2008 Publisher: Cambridge, Mass. NBER

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Learning in the credit card market
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Year: 2008 Publisher: Cambridge, Mass. NBER

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Book
Power Laws in Economics and Finance
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Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Abstract

A power law is the form taken by a large number of surprising empirical regularities in economics and finance. This article surveys well-documented empirical power laws concerning income and wealth, the size of cities and firms, stock market returns, trading volume, international trade, and executive pay. It reviews detail-independent theoretical motivations that make sharp predictions concerning the existence and coefficients of power laws, without requiring delicate tuning of model parameters. These theoretical mechanisms include random growth, optimization, and the economics of superstars coupled with extreme value theory. Some of the empirical regularities currently lack an appropriate explanation. This article highlights these open areas for future research.

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Book
Variable Rare Disasters : An Exactly Solved Framework for Ten Puzzles in Macro-Finance
Authors: ---
Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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This paper incorporates a time-varying intensity of disasters in the Rietz-Barro hypothesis that risk premia result from the possibility of rare, large disasters. During a disaster, an asset's fundamental value falls by a time-varying amount. This in turn generates time-varying risk premia and thus volatile asset prices and return predictability. Using the recent technique of linearity-generating processes (Gabaix 2007), the model is tractable, and all prices are exactly solved in closed form. In the "variable rare disasters" framework, the following empirical regularities can be understood qualitatively: (i) equity premium puzzle (ii) risk-free rate-puzzle (iii) excess volatility puzzle (iv) predictability of aggregate stock market returns with price-dividend ratios (v) value premium (vi) often greater explanatory power of characteristics than covariances for asset returns (vii) upward sloping nominal yield curve (viiii) a steep yield curve predicts high bond excess returns and a fall in long term rates (ix) corporate bond spread puzzle (x) high price of deep out-of-the-money puts. I also provide a calibration in which those puzzles can be understood quantitatively as well. The fear of disaster can be interpreted literally, or can be viewed as a tractable way to model time-varying risk-aversion or investor sentiment.

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Book
Rare Disasters and Exchange Rates
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Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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We propose a new model of exchange rates, which yields a theory of the forward premium puzzle. Our explanation combines two ingredients: the possibility of rare economic disasters, and an asset view of the exchange rate. Our model is frictionless, has complete markets, and works for an arbitrary number of countries. In the model, rare worldwide disasters can occur and affect each country's productivity. Each country's exposure to disaster risk varies over time according to a mean-reverting process. Risky countries command high risk premia: they feature a depreciated exchange rate and a high interest rate. As their risk premium mean reverts, their exchange rate appreciates. Therefore, currencies of high interest rate countries appreciate on average. To make the notion of disaster risk more implementable, we show how options prices might in principle uncover latent disaster risk, and help forecast exchange rate movements. We then extend the framework to incorporate two factors: a disaster risk factor, and a business cycle factor. We calibrate the model and obtain quantitatively realistic values for the volatility of the exchange rate, the forward premium puzzle regression coefficients, and near-random walk exchange rate dynamics. Finally, we solve a model of stock markets across countries, which yields a series of predictions about the joint behavior of exchange rates, bonds, options and stocks across countries. The evidence from the options market appears to be supportive of the model.

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Book
Learning in the Credit Card Market
Authors: --- --- --- ---
Year: 2008 Publisher: Cambridge, Mass. National Bureau of Economic Research

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Agents with more experience make better choices. We measure learning dynamics using a panel with four million monthly credit card statements. We study add-on fees, specifically cash advance, late payment, and overlimit fees. New credit card accounts generate fee payments of $15 per month. Through negative feedback -- i.e. paying a fee -- consumers learn to avoid triggering future fees. Paying a fee last month reduces the likelihood of paying a fee in the current month by about 40%. Controlling for account fixed effects, monthly fee payments fall by 75% during the first three years of account life. We find that learning is not monotonic. Knowledge effectively depreciates about 10% per month, implying that learning displays a strong recency effect.

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