... RealPlayer SuperPass Member password crack, ebook | ebooks | books | book) (*.pdf | *.chm | *.lit | *.rar | *.zip) parent directory intitle: index of / kamasutra, Game Jackal full warez Ulead Video Studio 6.02 free download, corel painter 8 free ... ...
Anonymous - 03/12/2009 - 22:16 - 0 comments - 0 attachments
In late 2002, Deutsche Bank and Goldman Sachs introduced regular auctions of economic derivatives. These options allow market participants to take positions on a variety of official macroeconomic measures, in anticipation of their scheduled announcement. The statistics covered to date include U.S. Nonfarm Payrolls, Initial Jobless Claims, the Institute for Supply Management’s manufacturing index, the U.S. Retail Report, and the Eurozone Index of Consumer Prices.
The auctions are conducted using a Pari-mutuel Derivatives Call Auction (PDCA) technology developed by Longitude, Inc. The auctions last for between one to two hours and are typically held the day of or one day prior to the actual data release. While the auction is in progress, investors can enter limit orders to buy or sell digital or vanilla options. The digital options offer a $1 payout per contract if the actual release is at or above (for calls) or below (for puts) the strike, while vanilla options offer a payout of $1 per point the actual release is above or below the strike. The available strikes for each auction are determined in advance by the auction sponsors (Deutsche Band and Goldman Sachs). The available strikes center around economist consensus estimates and express a range of possible outcomes for the announced figure.
The excess volatility puzzle (Shiller, 1981, and LeRoy and Porter, 1981) and the equity premium puzzle (Mehra and Prescott, 1985) are two fundamental challenges to theoretical models that have been developed in the finance and macroeconomics literature. Building a production economy model that would satisfactorily account for both high aggregate stock market volatility and the behavior of aggregate quantities has proven to be difficult and no consensus model has arisen. In this paper we build a model in which variations in firms’ ability to raise external capital to take profitable projects lead to asset price volatility. We calibrate the model to the U.S. data and find that it generates about 80% of the observed aggregate stock market volatility. At the same time, the model generates time-series properties of aggregate quantities that match the macroeconomic data.
Our model closely resembles the model described in Kiyotaki and Moore (2008). It is a dynamic stochastic general equilibrium model with heterogeneous entrepreneurs, who face a real and a financial friction. The real friction restricts entrepreneurs’ access to new projects. In every period only a fraction of entrepreneurs find new profitable projects. Following the literature, we assume that the arrival of profitable projects is i.i.d. over time and over entrepreneurs, see e.g. Angeletos (2007) and Kocherlakota (2009). We model an entrepreneur’s ability to start a profitable project as his ability to produce new capital goods one-to-one from the general consumption good. Entrepreneurs who cannot produce capital are willing to buy claims to returns of other entrepreneurs’ projects to replace their depreciated capital. We call these claims equity. Markets are incomplete and equity is the only financial asset that is traded in the economy. The financial friction restricts new issuance of equity. We assume that entrepreneurs can only leverage a fraction of the returns of the newly produced capital, i.e. sell only a fraction of the new project as equity. On its own, this friction is standard in the literature. The novel feature of our model is that the ratio of outside to total financing of projects changes over time.
Debit cards have surpassed credit cards to become the most common form of Visa point-of-sale (“POS”) transaction in the United States (Visa 2002). Overall, debit was used for over 15.5 billion POS transactions totaling $700 billion in the year 2002 (CPSS 2003). This represented about 35% of electronic payment transaction volume and 12% of POS noncash payments (Gerdes and Walton 2002). Debit’s ascension has been sudden, with 47% of households using it by 2001, up from 18% in 1995 (Table 1). Industry observers predict continued strong growth for debit, while forecasting relatively weak growth in credit card charge volume.
Despite debit’s growth and prominence, the determinants of debit use have largely escaped academic scrutiny. The introductory quotes belie that fact that there are actually potentially important, pecuniary cost-based reasons for using debit. Principally, the 53% of credit card users who revolve balances incur interest costs to charge purchases on the margin (i.e., they don’t get the float), and hence might rationally choose to use debit rather than credit in order to minimize transaction costs.This motive holds even for the “small” (Laibson et al. 2003) fraction of consumers who simultaneously hold nontrivial stocks of low-yielding liquid assets and expensive credit card debt. Debit use might also be rational for consumers lacking access to a credit card or facing a binding credit limit.
