Inferring Trade Direction from Intraday Data

This paper evaluates alternative methods for classifying individual trades as market buy or market sell orders using intraday trade and quote data. We document two potential problems with quote-based methods of trade classification: quotes may be recorded ahead of trades that triggered them, and trades inside the spread are not readily classifiable. These problems are analyzed in the context of the interaction between exchange floor agents. We then propose and test relatively simple procedures for improving trade classifications.     

Moral Hazard and Optimal Subsidiary Structure for Financial Institutions

Banks and related financial institutions often have two separate subsidiaries that make loans of similar type but differing risk, for example, a bank and a finance company, or a “good bank/bad bank” structure. Such “bipartite” structures may prevent risk shifting, in which banks misuse their flexibility in choosing and monitoring loans to exploit their debt holders. By “insulating” safer loans from riskier loans, a bipartite structure reduces risk‐shifting incentives in the safer subsidiary. Bipartite structures are more likely to dominate unitary structures as the downside from riskier loans is higher or as expected profits from the efficient loan mix are lower.     

FEDERAL BUDGET DEFICITS, MONEY, AND EXCHANGE RATES

The dollar's strength during the 1980s appears to many—particularly as reported in the financial press—to have been directly linked to the decade's large budget deficits and the subsequent increase in the stock of federal debt outstanding. The popular argument is that the budget deficit and the growth of federal government credit market demand caused U.S. interest rates to rise over that period, inducing large capital inflows from abroad to finance the deficit. According to the argument, the capital inflows caused the dollar to appreciate. Despite the argument's popularity, the empirical literature does not strongly support it. Evidence on the relationship between the federal deficit and the dollar is at best mixed.
This article reconsiders the effects of federal budget deficits on the exchange rate. The analysis involves estimating a vector autoregressive (VAR) model of exchange rates that includes monetary, fiscal, and price level variables. Within the VAR framework, impulse analysis traces the dynamic response of exchange rates to various budget deficit measures.
The analysis finds that deficits do not directly Granger cause exchange rates, but it also finds evidence of an indirect effect working through the money supply and price level. Moreover, the analysis reveals some evidence that foreign exchange markets are forward looking and react to expected budget deficits. The innovations accounting and impulse analysis also suggest a forward-looking dynamic relationship between deficits and exchange rates, but the relationship is sensitive to the ordering of the variables.     

The customer compatibility scale: measuring service customers' perceptions of fellow customers

Customers forced to share the service environment may not react favourably to one anothers' behaviour or presence-possibly jeopardizing customer satisfaction with the overall service experience and thereby risking future patronage. This study introduces a 19-item customer compatibility scale that measures the extent of interaction between customers within a business's physical environment and whether it leads to satisfaction or dissatisfaction. An overview of the scale's development is presented, including evidence indicating the reliability and validity of the scale. Recommendations are made for future research, and practitioner applications of the scale are discussed.     

Measuring Liquidity Mismatch in the Banking Sector

This paper constructs a liquidity mismatch index (LMI) to gauge the mismatch between the market liquidity of assets and the funding liquidity of liabilities, for 2,882 bank holding companies over 2002 to 2014. The aggregate LMI decreases from +$4 trillion precrisis to ?$6 trillion in 2008. We conduct an LMI stress test revealing the fragility of the banking system in early 2007. Moreover, LMI predicts a bank's stock market crash probability and borrowing decisions from the government during the financial crisis. The LMI is therefore informative about both individual bank liquidity and the liquidity risk of the entire banking system.     

Liquidity Risk,Bank Networks,and the Value of Joining the Federal Reserve System

Reducing systemic liquidity risk related to seasonal loan demand was one reason for founding the Federal Reserve System. Nevertheless, less than 8% of state‐chartered banks joined the Fed in its first decade. Banks facing high liquidity risk from seasonal loan demand were more likely to join the Fed in its first decade. We also find evidence consistent with the notion that banks could obtain some indirect access to the discount window through interbank transfers. Some banks apparently joined the Fed to pass through discount window liquidity to other banks via the interbank network.  Joining the Fed increased member banks’ lending.     

Joint Management of Wildlife and Livestock Disease

We analyze a bioeconomic model of a multiple-host disease problem involving wildlife and livestock. The social planner’s choices include targeted (i.e., infectious versus healthy) livestock harvests, non-targeted wildlife harvests, environmental habitat variables, and on-farm biosecurity to prevent cross-species contacts. The model is applied to bovine tuberculosis among Michigan white-tailed deer and cattle. We find optimal controls may target the livestock sector more stringently when the livestock sector exhibits low value relative to the wildlife sector. This is in contrast with the conventional wisdom on the issue that controls should primarily target wildlife species that serve as disease reservoirs.