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Keywords:Information theory 

Journal Article
What moves the bond market?

In an examination of the U.S. Treasury securities market, the authors attempt to explain the sharpest price changes and most active trading episodes. They find that each of the twenty-five largest price shocks and twenty-five greatest trading surges can be attributed to just-released macroeconomic announcements. They also measure the market's average reactions to theses announcements and analyze the extent to which the reactions depend on the degree of announcement surprise and on prevailing market conditions. The market's price and trading reactions are found to reflect differences of ...
Economic Policy Review , Volume 3 , Issue Dec , Pages 31-50

Working Paper
Rational bubbles under diverse information

This paper uses a set of post-extraction information trees to generally model diverse information and agent specific state price processes to define present and fundamental values. It shows that there can be no negative or finite bubbles and that, if agents are impatient and the aggregate endowment has a finite present value under some state price process of some agent, then there can be no bubble under this state price process for any asset with positive supply.
International Finance Discussion Papers , Paper 621

Journal Article
Foreign exchange: macro puzzles, micro tools

This paper reviews recent progress in applying information-theoretic tools to long-standing exchange rate puzzles. I begin by distinguishing the traditional public information approach (e.g. monetary models, including new open economy models) from the newer dispersed information approach. (The latter focuses on how information is aggregated in the trading process.) I then review empirical results from the dispersed information approach and relate them to two key puzzles, the determination puzzle and the excess volatility puzzle. The dispersed information approach has made progress on both.
Economic Review

Working Paper
Information systems for risk management

Risk management information systems are designed to overcome the problem of aggregating data across diverse trading units. The design of an information system depends on the risk measurement methodology that a firm chooses. Inherent in the design of both a risk management information system and a risk measurement methodology is a tradeoff between the accuracy of the resulting measures of risk and the burden of computing them. Technical progress will make this tradeoff more favorable over time, leading firms to implement more accurate methodologies, such as full revaluation of nonlinear ...
International Finance Discussion Papers , Paper 585

Working Paper
Market breakdowns and price crashes explained by information ambiguity

FRB Atlanta Working Paper , Paper 94-13

Working Paper
Adaptive learning, endogenous inattention, and changes in monetary policy

This paper develops an adaptive learning formulation of an extension to the Ball, Mankiw, and Reis (2005) sticky information model that incorporates endogenous inattention. We show that, following an exogenous increase in the policymaker?s preferences for price vs. output stability, the learning process can converge to a new equilibrium in which both output and price volatility are lower.
Working Papers (Old Series) , Paper 0610

Working Paper
Information gathering by a principal

In the standard principal-agent model, the information structure is fixed. In this paper allow the principal to choose his level of informedness before he contracts with the agent. During the contracting phase, the agent never learns what the principal knows about the state of the world. I examine the cases where the agent observes and does not observe the level of informedness that the principal chooses. The strategic nature of the model environment implies that there are both direct and indirect costs associated with the existence of high quality information. The implications for ...
Working Papers (Old Series) , Paper 0307

Estimating a structural model of herd behavior in financial markets

We develop a new methodology for estimating the importance of herd behavior in financial markets. Specifically, we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the model using 1995 stock market data for Ashland Inc., a company listed on the New York Stock Exchange. Herding occurs often and is particularly pervasive on certain days. In an information-event day, on average, 2 percent (4 percent) of informed traders herd-buy (sell). In 7 percent ...
Staff Reports , Paper 561

Working Paper
Computing moral-hazard problems using the Dantzig-Wolfe decomposition algorithm

Linear programming is an important method for computing solutions to private information problems. The method is applicable for arbitrary specifications of the references and technology. Unfortunately, as the cardinality of underlying sets increases the programs quickly become too large to compute. This paper demonstrates that moral-hazard problems have a structure that allows them to be computed using the Dantzig-Wolfe decomposition algorithm. This algorithm breaks the linear program into subproblems, greatly increasing the size of problems that may be practically computed. Connections to ...
Working Paper , Paper 98-06

Working Paper
A theory of money and banking

The authors construct a simple environment that combines a limited communication friction and a limited information friction in order to generate a role for money and intermediation. They ask whether there is any reason to expect the emergence of a banking sector (i.e., institutions that combine the business of money creation with the business of intermediation). In their model, the unique equilibrium is characterized partly by the existence of an agent that: (1) creates money (a debt instrument that circulates as a means of payment); (2) lends it out (swapping it for less liquid forms of ...
Working Papers (Old Series) , Paper 0310


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