Modeling time series information into option prices: An empirical evaluation of statistical projection and GARCH option pricing model

This paper compares the empirical performances of statistical projection models with those of the Black–Scholes (adapted to account for skew) and the GARCH option pricing models. Empirical analysis on S&P500 index options shows that the out-of-sample pricing and projected trading performances of the semi-parametric and nonparametric projection models are substantially better than more traditional models. Results further indicate that econometric models based on nonlinear projections of observable inputs perform better than models based on OLS projections, consistent with the notion that the true unobservable option pricing model is inherently a nonlinear function of its inputs. The econometric option models presented in this paper should prove useful and complement mainstream mathematical modeling methods in both research and practice.     

“Black Swans” before the “Black Swan” evidence from international LIBOR–OIS spreads

The LIBOR–OIS spread is a closely monitored indicator of the financial health of economy. Previous research has used this spread to identify and anticipate abrupt changes in financial markets. Taylor and Williams (2009) refer to the drastic increase in the US LIBOR–OIS spread on August 7th, 2007 as a “Black Swan” in the money market. In this paper, rather than rely on visual observations of “Black Swans” we estimate them using Bai and Perron’s (1998) procedure. We estimate structural breaks, Granger causality tests, and innovation accounting in international LIBOR–OIS spreads and a CDS index to better understand their dynamics during the recent crisis. Our results reveal that “Black Swans” appeared in smaller economies prior to that in large ones during the financial crisis. In addition, we find that only shocks to the US LIBOR–OIS spread has any statistically significant effects after 30 days.     

The Federal Reserve and the 2007–2009 Financial Crisis: Treating a Virus with Antibiotics? Evidence from the Commercial Paper Market

The two main explanations for the crisis in the commercial paper (CP) market are credit concerns and liquidity issues. The CP market is not homogeneous in terms of credit quality, maturities and types of issues. We find that lower credit‐quality CP suffered more during the crisis. Additionally, we find little evidence that Federal Reserve (Fed) liquidity facilities reduced the impact of the crisis, but that when the Fed became a lender in the CP market, the crisis pressures were dramatically reduced. We conclude that the crisis in the money markets is related more to increases in credit risk. Liquidity is a secondary issue.     

Frequent issuers’ influence on long-run post-issuance returns

Prior studies conclude that firms’ equity underperforms following many individual sorts of external financing. These conclusions naturally raise significant questions about market efficiency and/or about the techniques used to measure long-run “abnormal returns.” Rather than concentrating on a single security type or issuance, we examine long-run performance following any and all sorts of security issuances. Initial financing events do not associate with underperformance; however, subsequent financings do. Our results suggest that negative post-issuance returns have nothing to do with the specific type of security issued, and everything to do with the number of types of securities issued.     

The Benefits of Visibility Improvement: New Evidence from the Los Angeles Metropolitan Area

This article examines the impact of a specific aspect of air quality—visibility, or the ability to clearly see distant objects—on housing values. Our analysis is based on a data set constructed by matching residential housing sales data from the Los Angeles Metropolitan Area for the period 1980 through 1995 with visibility and other air pollution data and other characteristics. We find that visibility differences are capitalized into housing values, producing a measurable hedonic price gradient. The time-series design facilitates an estimate of the demand for visibility that we use to calculate the benefits of changes in visual range.     

The Influence of a Credit Rating Change on Dividend and Investment Policy Interactions

We examine firms’ alterations in dividend and investment activities following credit rating changes. We find that downgraded firms reduce both dividends and investments more than no‐rating‐change firms. However, a silver lining of this doubly negative impact for shareholders is an increase in investment efficiency in firms that are most likely to overinvest. For upgraded firms, investments increase, but dividend outlays do not, compared to firms without rating changes. Our findings of asymmetric dividend stickiness and symmetric investment changes on a credit shock suggest that dividends and investments should not always be considered competing uses of funds.     

The Effects of Executive,Firm, and Board Characteristics on Executive Exit

We estimate a hazard model of the probability of top corporate executives exiting their firms over the period 1996–2010. Our main findings are that: (1) female executives have greater likelihoods of exit than males, (2) the likelihood of exit increases with the independence of the board and decreases with the fraction of the board that is female and the average age of board members, and (3) a higher percentage of independent directors on the board lowers the probability of exit more for females than for males. Further, controlling for exit risk reduces the well‐documented compensation differential between men and women.     

Permanent and Temporary Components of Stock Prices: Evidence from Assessing Macroeconomic Shocks

This paper outlines a simple macro model with overlapping wage contracts to investigate how the temporary and permanent components of stock price movements may be related to aggregate macro-economic supply and demand disturbances. In the content of the model, we show that aggregate demand shocks have only temporary effects on real stock prices, while supply shocks may affect the level of real stock prices permanently. Moreover, the temporary component in U.S. stock prices, identified by placing appropriate structural restrictions on a vector autoregressive system estimated for the postwar period, is statistically significant. This evidence supports the mean-reversion hypothesis that stock prices are not pure random walks. The finding is robust to the choice of variables used in the vector autoregressive system and periodicity.