Long-run productivity risk: A new hope for production-based asset pricing?

The examination of the intertemporal distribution of US productivity risk suggests that the conditional mean of productivity growth is an important determinant of macro quantities and asset prices. After establishing this empirical link, I rationalize it in a production economy featuring long-run productivity risk, Epstein and Zin (1989) preferences, and investment frictions. Both convex capital adjustment costs and convex reallocation costs across consumption and investment produce an annual equity premium as sizeable as in the data.     

The price of variance risk

Between 1996 and 2014, it was costless on average to hedge news about future variance at horizons ranging from 1 quarter to 14 years. Only unexpected, transitory realized variance was significantly priced. These results present a challenge to many structural models of the variance risk premium, such as the intertemporal CAPM and recent models with Epstein–Zin preferences and long-run risks. The results are also difficult to reconcile with macro models in which volatility affects investment decisions. At the same time, the data allows us to distinguish between different disaster models; a model in which the stock market has a time-varying exposure to disasters and investors have power utility fits the major features of the variance term structure.     

Long-run risk in durable consumption

Durable consumption growth is persistent and predicted by the price-dividend ratio. This provides strong and direct evidence for the existence of a highly persistent expected component. Durable consumption growth is left-skewed and exhibits time-varying volatility. I model durable consumption growth as containing a persistent expected component and driven by counter-cyclical volatility, nondurable consumption as a random walk, and dividend growth as exposed to the expected component of durable consumption growth. Together with nonseparable Epstein-Zin preferences, the model demonstrates that long-run risk in durable consumption can explain major asset market phenomena. The model also generates an upward-sloping real term structure.     

Risks for the long run: Estimation with time aggregation

The discrepancy between the decision and data-sampling intervals, known as time aggregation, confounds the identification of long-, short-run growth, and volatility risks in asset prices. This paper develops a method to simultaneously estimate the model parameters and the decision interval of the agent by exploiting identifying restrictions of the Long Run Risk (LRR) model that account for time aggregation. The LRR model finds considerable empirical support in the data; the estimated decision interval of the agents is 33 days. Our estimation results establish that long-run growth and volatility risks are important for asset prices.     

The Effects of the Sharing Economy: How Does Internet Finance Influence Commercial Bank Risk Preferences?

In this article, we provide an evidence on the effects of the sharing economy by studying internet finance. It aims to explore how internet finance affects the relationship between commercial bank risk preferences and monetary policy, and discusses whether this impact varies across heterogeneous banks. The results suggest that having a loose monetary policy encourages a preference for risk. In addition, internet finance alters the sensitivity of bank risk behavior to monetary policy. Internet finance has a heterogeneous influence, depending on a bank’s ownership (i.e., state or private) and size. At privately owned banks, internet finance has only a moderate impact on the bank risk-taking transmission channel of monetary policy, unlike the subsample of large banks.     

Production-based measures of risk for asset pricing

A stochastic discount factor for asset returns is recovered from equilibrium marginal rates of transformation inferred from producers’ first-order conditions. The marginal rate of transformation implies a novel macro-factor asset pricing model that does a reasonable job explaining the cross-sectional variation in average stock returns with plausible parameter values. Using a flexible representation of firms’ production technology, producers’ ability to transform output across states of nature is estimated to be high, in contrast with what is typically assumed in standard aggregate representations of firms’ production technology.     

Long-memory and heterogeneous components in high frequency Pacific-Basin exchange rate volatility

Recent research examining high-frequency financial data has suggested that volatility dynamics may be confounded by the existence of an intra-day periodic pattern and multiple sources of volatility. This paper examines whether these dynamics are present in the US Dollar exchange rates of five Pacific Basin economies. Using 30-min sampled returns, evidence of a ‘U’-shape intra-day pattern in volatility for regional markets is reported and controlled for using a Flexible Fourier transform. Supportive evidence for the existence of multiple volatility components is offered by semi-parametric fractional difference estimates of the long-memory properties of absolute exchange rate returns at various intra-day data sampling frequencies. Further parametric evidence of an explicit component structure in such high frequency exchange rate volatility is offered by the estimates of a component-GARCH model which comprises both a long-run volatility component exhibiting slow shock decay and a short-run volatility component exhibiting far more rapid decay, and provides a generally superior fit to the data. Further application of these C-GARCH models in the analysis of high frequency volatility spillovers between the currencies considered also reveals that such spillovers are predominantly transitory rather than highly persistent in nature, but that where volatility spillovers do impact on the long-run component of exchange rate volatility the Australian Dollar plays a pivotal role in the localised causality transmission mechanism.      

Does market misvaluation help explain share market long‐run underperformance following a seasoned equity issue?

We examine the relation between pre‐seasoned equity offering (SEO) announcement date misvaluation and long‐run post‐SEO performance for a large sample of Australian SEOs made between 1993 and 2001. Our study is motivated by inconsistent findings across countries with respect to the SEO long‐run underperformance anomaly first documented in the USA, inconclusive findings with respect to the hypothesis that managers exploit market misvaluation when timing equity issues, and a recent Australian Stock Exchange proposal to loosen SEO regulation. We find SEO firms underperform common share market benchmarks for up to 5 years after the announcement. Using a residual income valuation method, we show that this underperformance is related to pre‐announcement date misvaluation. An unexpected result is that underperformance and misvaluation are more severe for private placements than rights issues. Institutional factors unique to the Australian setting, particularly the large number of smaller loss‐making firms among private placement issuers, appear to explain the poorer performance of placement firms. Our results are robust to various measurement methods and assumptions, and demonstrate the importance of researching SEO performance in alternative institutional settings.     

Patents and the performance of technology firms: Evidence from initial public offerings in Germany

The objective of this study is to analyze the relationship between innovation and performance for German firms that went public at the “Neuer Markt” during the period from 1997 to 2002. In the empirical analysis we investigate in particular whether initial public offerings (IPOs) with more or higher quality patents outperformed IPOs with lower quality or no patented technology. For this we measure the impact of patents on underpricing and long-run performance and explain the magnitude of these valuation effects with the Fama–French value and growth factors, with patent-specific variables such as the number of IPC-classes, family size, the number of backward and forward citations, as well as with industry variables. The empirical evidence suggests that patents are a reliable indicator for the success and the short- and long-run performance of start-up technology firms that went public and that the valuation effects are more pronounced for higher quality patents.