The microstructure of a U.S. Treasury ECN: the BrokerTec platform
We assess the microstructure of the U.S. Treasury securities market following its migration to electronic trading. We model price discovery using a vector autoregression model of price and order flow. We show that both trades and limit orders affect price dynamics, suggesting that traders also choose limit orders to exploit their information. Moreover, while limit orders have smaller price impact, their greater variation contributes more to the variance of price updates. Lastly, we find increased price impact of trades and especially limit orders following major announcements (such as FOMC ...
Goods-Market Frictions and International Trade
We present a tractable framework that embeds goods-market frictions in a general equilibrium dynamic model with heterogeneous exporters and identical importers. These frictions arise because it takes time and expense for exporters and importers to meet. We show that search frictions lead to an endogenous fraction of unmatched exporters, alter the gains from trade, endogenize entry costs, and imply that the competitive equilibrium does not generally result in the socially optimal number of searching firms. Finally, ignoring search frictions results in biased estimates of the effect of tariffs ...
Price Impact of Trades and Orders in the U.S. Treasury Securities Market
It’s long been known that asset prices respond not only to public information, such as macroeconomic announcements, but also to private information revealed through trading. More recently, with the growth of high-frequency trading, academics have argued that limit orders—orders to buy or sell a security at a specific price or better—also contain information. In this post, we examine the information content of trades and limit orders in the U.S. Treasury securities market, following this paper, recently published in the Journal of Financial Markets and earlier as a New York Fed staff ...
Information and Communications Technology Spending and City Size
Firms in big cities are spending more on information and communications technology than firms in small cities, a likely cause of the growing economic divide between big and small U.S. cities.
Home price expectations and behavior: evidence from a randomized information experiment
Home price expectations are believed to play an important role in housing dynamics, yet we have limited understanding of how they are formed and how they affect behavior. Using a unique ?information experiment? embedded in an online survey, this paper investigates how consumers? home price expectations respond to past home price growth and how they impact investment decisions. After eliciting respondents? initial beliefs about past and future local home price changes, we present a random subset of the respondents with factual information about past (one- or five-year) changes and then ...
Credit Market Information Feedback
We examine how a combination of credit market and asset quality information can jointly be used in assessing bank franchise value. We find that expectations of future credit demand and future asset quality explain contemporaneous bank franchise value, indicative of the feedback in credit market information and its consequent impact on bank franchise value.
Appraising Home Purchase Appraisals
Home appraisals are produced for millions of residential mortgage transactions each year, but appraised values are rarely below the purchase contract price: Some 30% of appraisals in our sample are exactly at the home price (with less than 10% of them below it). We lay out a basic theoretical framework to explain how appraisers? incentives within the institutional framework that governs mortgage lending lead to information loss in appraisals (that is, appraisals set equal to the contract price). Consistent with the theory, we observe a higher frequency of appraisal equal to contract price and ...
What Americans (Don’t) Know about Student Loan Collections
U.S. student debt has more than tripled since 2004, and at over $1 trillion is now substantially greater than both credit card and auto debt balances. There are substantial potential benefits to be gained from taking out a student loan to fund a college education, including higher earnings and lower unemployment rates for college grads. However, there are significant costs to having student debt: The loans frequently carry relatively high interest rates, delinquency is common and costly (involving potential late fees and collection fees), and the federal government has the power to garnish ...
Determinants of college major choice: identification using an information experiment
This paper studies the determinants of college major choice using an experimentally generated panel of beliefs, obtained by providing students with information on the true population distribution of various major-specific characteristics. Students logically revise their beliefs in response to the information, and their subjective beliefs about future major choice are associated with beliefs about their own earnings and ability. We estimate a rich model of college major choice using the panel of beliefs data. While expected earnings and perceived ability are a significant determinant of major ...
How Does Information Affect Liquidity in Over-the-Counter Markets?
A large volume of financial transactions occur in decentralized markets that commonly depend on a network of dealers. Dealers face two impediments to providing liquidity in these markets. First, dealers may face informed traders. Second, they may face costs associated with maintaining large balance sheets, either due to inventory or liquidity costs. In a recent paper, we study a model of over-the-counter (OTC) markets in which liquidity is endogenously determined by dealers who must contend with both asymmetric information and liquidity costs. This post provides an intuitive explanation of ...