Fundamental Investment Analysis

We introduce a regression-based nested Monte Carlo simulation method for the estimation of financial risk. An outer simulation level is used to generate financial risk factors and an inner simulation level is used to price securities and compute portfolio losses given risk factor outcomes. The mean squared error (MSE) of standard nested simulation converges at the rate, where measures computational effort. The proposed regression method combines information from different risk factor realizations to provide a better estimate of the portfolio loss function.

This paper investigates the impact of lower mortgage rates on household balance sheets and other economic outcomes during the housing crisis. We use proprietary loan-level panel data matched to consumer credit records using borrowers' Social Security numbers, which allows for accurate measurement of the effects. Our main focus is on borrowers with agency loans, which constitute the vast majority of U.S. mortgage borrowers.

Value stocks earn higher returns than growth stocks on average, but it is well documented that those returns come with risk. This paper supplies an understanding of that risk in terms of fundamentals. The fundamental analysis informs that, in buying value stocks, the investor may be trapped into buying firms where prospective earnings growth is quite risky. However, the trap can be avoided by recognizing how earnings and book value are accounted for in financial statements. Specifically, the application of conservative accounting informs the investor ex ante of the risk involved.

We propose a new definition of skill as a general cognitive ability to either pick stocks or time the market at different times. We find evidence for stock picking in booms and for market timing in recessions. Moreover, the same fund managers that pick stocks well in expansions also time the market well in recessions. These fund managers significantly outperform other funds and passive benchmarks. Our results suggest a new measure of managerial ability that gives more weight to a fund's market timing in recessions and to a fund's stock picking in booms.

This paper finds statistically and economically significant out-of-sample portfolio benefits for an investor who uses models of return predictability when forming optimal portfolios. The key is that investors must incorporate an ensemble of important features into their optimal portfolio problem, including time-varying volatility, and time-varying expected returns driven by improved predictors such as measures of yield that include share repurchase and issuance in addition to cash payouts. Moreover, investors need to account for estimation risk when forming optimal portfolios.

This paper presents a comprehensive analysis of mortgage delinquency between 2004 and 2008 using a unique loan-level dataset from a major national mortgage bank. Our analysis highlights two major problems underlying the mortgage crisis: a heavy reliance on mortgage brokers who tend to originate lower quality loans, and a high prevalence of low-documentation loans—known in the industry as "liars' loans"—which results in information falsification by borrowers.

The regulation of bank capital as a means of smoothing the credit cycle is a central element of forthcoming macro-prudential regimes internationally. For such regulation to be effective in controlling the aggregate supply of credit it must be the case that: (i) changes in capital requirements affect loan supply by regulated banks, and (ii) unregulated substitute sources of credit are unable to offset changes in credit supply by affected banks. This paper examines micro evidence—lacking to date—on both questions, using a unique data set.

We examine (1) whether the accounting, governance, and investing practices of Berkshire Hathaway investees are consistent with Warren Buffett's public statements on what constitutes good accounting, governance, and investing practices and (2) whether these practices are associated with Berkshire's initial "selection" or Buffett's subsequent "influence." Compared to control firms, we find that Berkshire investees are highly likely to follow Buffett's investment philosophy, somewhat likely to follow his preferred accounting, disclosure, and compensation policies, but unlikely to follow the bo

This study examines the relation between securitization and loan performance using a comprehensive dataset from a major national mortgage lender. Loans remaining on the bank's balance sheet ex post incurred higher delinquency rates than sold loans, contrasting the negative relation between screening efforts and ex ante probability of loan sale explored by prior studies. Moreover, the performance gap between sold and retained loans was wider among the subsample of loans that were perceived as easier to resell.