Knowledge that Transforms

This article analyzes the relationship between consumer bankruptcy patterns and the destruction of soft information caused by mergers. Using a major Canadian bank merger as a source of exogenous variation in local banking conditions, we show that local markets affected by the merger exhibit an increase in consumer bankruptcy rates post-merger. The evidence is consistent with the most plausible mechanism being the disruption of consumer–bank relationships. Markets affected by the merger show a decrease in the merging institutions’ branch presence and market share, including those stemming from higher switching rates. We rule out alternative mechanisms such as changes in quantity of credit, loan rates, or observable borrower characteristics.

We show that the propensity of a bank to experience extreme co-movements in its credit default swap (CDS) premia together with the market is priced in the bank’s default swap spread during the financial crisis. We measure a bank’s CDS tail beta by estimating the upper tail dependence between its default swap spreads and a CDS market index. Our study shows that protection sellers receive a premium for bearing the risk of extreme upward co-movements in default risk. The economic significance of this effect is large yet limited to the recent financial crisis. Banks in the upper quintile of CDS tail beta have spreads that are on average 140 basis points higher than those of banks in the lower CDS tail beta quintile.

Complete limit order data from Korea show individual stocks’ demand and supply elasticities correlating negatively in short windows. That is, whenever a stock’s demand is unusually elastic, its supply is unusually inelastic, and vice versa. However, in long windows, individual stocks’ demand and supply elasticities correlate positively. Notably, both fall about 40% with the 1997 Asian Financial Crisis, and remain depressed long after the market and macroeconomic variables recover. A parsimonious model explains both findings with investor information heterogeneity and risk-aversion parameters, fixed in the short-run, being permanently shifted by the crisis.

We propose to impose a weighted l1 and squared l2 norm penalty on the portfolio weights to improve out-of-sample (OOS) performances of portfolio optimization when the number of assets becomes large. We show that under certain conditions, the realized risk of the optimal minimum variance portfolio (MVP) obtained from the strategy can asymptotically be lower than those of benchmark portfolios with a high probability. Our theoretical results imply that penalty parameters for the weighted-norm penalty can be specified as a simple function of the number of assets and sample size. With the theoretical results, we also develop an automatic calibration procedure for choosing the penalty parameters. We demonstrate superior OOS performances of the weighted-norm MVP with two real data sets. Finally, we propose several alternative norm penalties and show that their OOS performances are comparable to the weighted-norm strategy.

Efficient investment of personal savings depends on clear risk disclosures. We study the propensity of individuals to violate some implications of expected utility under alternative “mass-market” descriptions of investment risk, using a discrete choice experiment. We found violations in around 25% of choices, and substantial variation in rates of violation, depending on the mode of risk disclosure and participants’ characteristics. When risk is described as the frequency of returns below or above a threshold we observe more violations than for range and probability-based descriptions. Innumerate individuals are more likely to violate expected utility than those with high numeracy. Apart from the very elderly, older individuals are less likely to violate the restrictions. The results highlight the challenges of disclosure regulation.

We contribute to the debate on whether stock-financed acquisitions destroy value for shareholders. A stock-financed acquisition is a joint takeover/equity-issue event. Using seasoned equity offering announcement returns, we estimate through linear prediction and propensity-score matching the share price drop that stock acquirers experience due to the financing choice. Net of this effect, stock-financed acquisitions are not value destructive, and the method of payment generally has no further explanatory power in the cross-section of acquirer returns. Our evidence is largely inconsistent with the agency costs of overvalued equity hypothesis.

The recent empirical evidence of a downward-sloping term structure of equity risk is viewed as a challenge to many leading asset pricing models. This article analytically characterizes conditions under which a continuous-time long-run risk model can accommodate the stylized facts about dividend and equity risk, when dividends are a stationary stochastic fraction of aggregate consumption. Such a cointegrating relation not only makes dividends riskier in the short run than at medium horizons but also preserves the role of long-run risk: consequently, the model captures both the traditional puzzles, like the high equity premium, as well as the new evidence about the term structure of equity risk.

We analyze the impact of credit default swap (CDS) trading on bank syndication activity. Theoretically, the effect of CDS trading is ambiguous: on the one hand, CDS can improve risk-sharing and hence be a more flexible risk management tool than loan syndication; on the other hand, CDS trading can reduce bank monitoring incentives. We document that banks are less likely to syndicate loans and retain a larger loan fraction once CDS are actively traded on the borrower’s debt. We then discern the risk management and the moral hazard channel. We find no evidence that the reduced likelihood to syndicate loans is a result of increased moral hazard problems.

Regulators and market participants are concerned about leveraged exchange-traded funds (ETFs)’ role in driving up end-of-day volatility through hedging activities near the market’s close. Leveraged ETF providers counter that the funds are too small to make a meaningful impact on volatility. For the period surrounding the financial crisis, 2006–11, we show that end-of-day volatility was positively and statistically significantly correlated with the ratio of potential rebalancing trades to total trading volume. The impacts were not all economically significant, but largest during the most volatile days. Given the predictable pattern of leveraged ETF hedging demands, implications for predatory trading are explored.

We extend the constant-elasticity regression that is the default choice when equities’ exposure to currencies is estimated. In a proper real-option-style model for the exporters’ equity exposure to the foreign exchange rate, we argue, the convexity of the relationship implies that the elasticity should depend on the exchange rate level. For instance, it should shrink to zero when the option to export becomes worthless, and that should happen at a critical exchange rate that is still strictly positive. We propose a class of tractable multi-regime regression models featuring, in line with the real-options logic, smooth transitions and within-regime dynamics in the foreign exchange exposure. We then analyze the exchange rate exposure of Chinese exporting firms and find that the model in which the moneyness of the export option has a positive impact on the exchange rate exposure detects a significantly positive and convex exposure for 40% and 65% of the firms depending on whether the market return is included in the regression or not.