I show how funding costs to derivatives dealers' shareholders for carrying and hedging inventory affect mid-market derivatives prices. An implication is that some supposed "no-arbitrage" pricing relationships, such as put-call parity, frequently break down. I also explore the implications for...

We examine a trivariate time series model that is subject to a regime switch, where the shifts are governed by an unobserved, two-state variable that follows a Markov process. The analysis is performed in a Bayesian framework developed by Albert and Chib (1993), where the unobserved states are...

We present evidence that shocks to household consumption growth are negatively skewed, persistent, countercyclical, and drive asset prices. We construct a parsimonious model where heterogeneous households have recursive preferences. A single state variable drives the conditional cross-sectional...

This paper develops an extension of Cochrane's (2008) joint hypothesis framework by allowing the coefficients to depend on the state of the economy. For recessions the results are clear-cut. Dividend yields vary entirely due to return predictability. However, in expansions, the "dog that did not...

We re-visit a puzzling result that in U.S. post-WW II data the dividend price ratio can predict aggregate returns but not dividend growth. We find that predictive regressions are sensitive to the method used to aggregate firm-level data. Using value weighted firm-level data we find strong...

The predictability of the market return and dividend growth is addressed in an equilibrium model with two regimes. A state variable that drives the conditional means of the aggregate consumption and dividend growth rates follows different time-series processes in the two regimes. In linear...

We study fluctuations in stock prices using a framework derived from the present value model augmented with a macroeconomic factor. The fundamental value is derived as the expected present discounted value of broad dividends that include, in addition to traditional cash dividends, other payouts...

This paper uses an artificial neural network (ANN) model to forecast broad dividends, and computes fundamental stock prices with a stochastic discount factor. Broad dividends are used because they measure payouts to shareholders more accurately. Since nonlinearity is found in broad dividends, an...

Recognition of active industries in stock exchange and the effective factors on the price of their share can have critical role on the development and growth of stock exchange and that is why determination of fair price for share would be of the important tasks of securities exchange....