INTRAWEEK SEASONALITY IN THE FEDERAL FUNDS MARKET

This paper examines daily Federal funds interest rates for intraweek seasonality over the period 1966 through June 1982. Seasonals are identified using several techniques and are found to vary over time in both intensity and relative size. Furthermore, seasonality is not limited to a Wednesday effect. The seasonals are used to test the effectiveness of active reserve management based on seasonal rate forecasts. The results indicate that extraordinary risk-adjusted profits are not likely.     

THE RELATION BETWEEN THE FEDERAL FUNDS CASH AND FUTURES MARKETS

The introduction of futures contracts did not alter the regularity in the cash market that results from the Federal Reserve regulation of the bank-settlement process. Although we find a positive preholiday effect in the Fed funds futures returns, we do not find evidence that Federal Reserve regulations cause that effect. Contrary to previous observations for other futures contracts, we find Fridays and preholidays have the largest net volume. We suggest this finding of high volume is consistent with hedging activity by financial institutions before market closings.     

STATE DEPENDENCY OF BANK STOCK REACTION TO FEDERAL FUNDS RATE TARGET CHANGES

We investigate the effects of changes in the federal funds target rate on bank stock returns through an event‐study analysis. We examine the state dependency of such effects and focus on the surprise elements of policy changes derived from the federal funds futures market. Although we confirm an inverse relation between bank stock returns and changes in the federal funds target rate previously supported in the literature, we find that bank stock returns only respond to surprise or unexpected changes in the federal funds target rate. We also find that such responses are conditional on the context in which policy changes take place.     

MARKET POWER,BANK MEGAMERGERS,AND THE WELFARE OF BANK BORROWERS

We assess the effects on the welfare of corporate borrowers of the recent wave of bank consolidations in the United States that has produced a small number of very large banks. Our evidence from a sample of more than 3,000 commercial borrowers from banks involved in large mergers indicates that the wealth effects on these borrowers are highly negative, statistically significant, and economically important. These negative investor perceptions seem to be driven largely by the expectation of changes in banks’ market power resulting from the mergers.     

ANALYSIS OF FEDERAL FUNDS RATE CHANGES AND VARIANCE PATTERNS

We analyze Fed funds rate changes in GARCH‐in‐mean (GARCH‐M) models and find that daily rate change and variance patterns differ with the timing of the rate observation, but that all patterns are generally consistent with optimal reserve account management. We also find that Fed funds daily and intraday variances exhibit trends and persistence, and that daily variance effects differ when using marginal rates versus daily weighted average rates. Furthermore, we find that conditional variances do not provide information about daily or intraday rate changes. Our results provide support for the use of GARCH models for studies on other financial assets. JEL classification: G21, G28     

吹尽黄沙始见金——工行晋身全球市值第一银行

市值是资本市场对上市公司价值的反映,较高的市值实际上是投资人对公司基本面和投资价值的认可和判断。对于一个国家来说,其上市公司的市值在全球的排名也在一定程度上体现了该欧美银行在榜单上的位置。2006年10月27日,工商银行在上海证券交易所和香港联交所成功上市,成为中国证券发展史上具有里程碑意义的标志性事件。     

THE DEALERS' PRICE/SIZE QUOTE AND MARKET LIQUIDITY

We model trading in a competitive securities market where informed traders and liquidity traders transact with dealers. The dealers' entire published quote is modeled: bid-ask prices and the number of shares the dealer is willing to buy/sell at these prices (i.e., size quotes). We argue that size quotes are a more informative indicator of market liquidity than the bid-ask spread's adverse-selection component. Moreover, the size quotes reveal several market characteristics that cannot be inferred from the bid-ask spread's adverse-selection component alone. The model generates a number of empirically testable predictions that clarify certain key elements of market liquidity.