Price determinants of bred heifers: Do reputations matter?

Replacement brood cows are among the most significant investments for cow-calf operations, thus crucial to profitability. Many cow-calf producers find it cost effective to purchase replacements from a reliable replacement heifer seller, though by doing so they increase risk of reproductive inefficiency due to unknown characteristics of the heifers. When important information about a product is missing to buyers, a seller can build a reputation over time that acts as signal for quality. Previous work has explored reputation effects in feeder cattle markets, but to our knowledge we are the first to explore reputation effects in bred replacement cattle markets. Using data from an annual replacement heifer sale, we analyze the values of heifer characteristics and test for premiums from reputation development. After controlling for reproductive practices, breed, and other characteristics, we find reputation does not play the role that Shapiro theorized. In this sale, the lot order is strategically chosen and may indicate bred heifer quality to buyers, replacing the need for reputation as a signal. This study highlights the importance of quality signals and regional preferences in bred replacement cattle marketing and lays the empirical groundwork for future studies to test Shapiro's theory.     

Using Experimental and Neurological Data to Gain a Deeper Understanding of Realization Utility Theory

Starting with the premise that realization utility theory helps explain trading behavior, this study combines a carefully crafted experimental design with functional magnetic resonance imaging technology to offer a more inclusive examination of factors that affect REIT trading behavior beyond whether a REIT is simply trading up or down. We add to the nascent field of neurological real estate by finding that local gains/loss domains are more relevant than are global gain/loss considerations, financial skewness is a significant determinant of trading behavior, and that performance inside the REIT market influences how hard subjects think when performing tasks outside the market.     

Has Dodd–Frank affected bank expenses?

Journal of Regulatory Economics - This paper examines the potential effects of the Dodd–Frank Act of 2010 on banks’ noninterest expenses. Using data on U.S. bank holding companies from...     

Bear beta

We test whether bear market risk, time variation in the probability of future bear market states, is priced. We construct an Arrow–Debreu security that pays off in bear market states (AD Bear) from traded Standard & Poor’s (S&P) 500 index options and use its returns to measure bear market risk. We find that bear beta (exposure to bear market risk) has a strong relation with expected stock returns that is robust, persistent, and remains strong among liquid and large stocks. Historical bear beta also predicts future bear market risk exposure. We conclude that bear market risk is priced in the cross section of stock returns.     

Examining the Information Content of Residuals from Hedonic and Spatial Models Using Trees and Forests

The Journal of Real Estate Finance and Economics - Machine learning algorithms such as neural nets, support vector machines, and tree-based techniques (classification and regression trees) have...     

The past,present, and future of brand research

Marketing Letters - This article discusses the past, present, and future of brand research. We begin by reviewing three historical eras of branding development in the past: the information,...     

Optimal investment and pricing in the presence of defaults

We consider the optimal investment problem with random endowment in the presence of defaults. For an investor with constant absolute risk aversion, we identify the certainty equivalent, and compute prices for defaultable bonds and dynamic protection against default. This latter price is interpreted as the premium for a contingent credit default swap, and connects our work with earlier articles, where the investor is protected upon default. We consider a multiple risky asset model with a single default time, at which point each of the assets may jump in price. Investment opportunities are driven by a diffusion X taking values in an arbitrary region . We allow for stochastic volatility, correlation, and recovery; unbounded random endowments; and postdefault trading. We identify the certainty equivalent with a semilinear parabolic partial differential equation with quadratic growth in both function and gradient. Under minimal integrability assumptions, we show that the certainty equivalent is a classical solution. Numerical examples highlight the relationship between the factor process, market dynamics, utility‐based prices, and default insurance premium. In particular, we show that the holder of a defaultable bond has a strong incentive to short the underlying stock, even for very low default intensities.