The aim of our paper is to price credit derivatives written on a single name when this name is a bank. Indeed, due to the special structure of the balance sheet of a bank and to the interconnections with other institutions of the financial system, the standard pricing formulas do not apply and their use can imply severe mispricing. The pricing of credit derivatives written on a single bank name requires a joint analysis of the risks of all banks directly or indirectly interconnected with the bank of interest. Each name cannot be priced in isolation, but the banking system must be treated as a whole. It is necessary to analyze the contagion of losses among banks, especially the equilibrium of joint defaults and recovery rates at liquidation time. We show the existence and uniqueness of such an equilibrium. Then the standard pricing formulas are modified by adding a premium to capture the contagion effects.

This study investigates the investment decision and dividend policy jointly from a non-steady state to a steady state. We extend Higgins, 1977, Higgins, 1981, Higgins, 2008 sustainable growth rate model and develop a dynamic model which jointly optimizes the growth rate and payout ratio. We optimize the firm value to obtain the optimal growth rate in terms of a logistic equation and find that the steady state growth rate can be used as the benchmark for the mean-reverting process of the optimal growth rate. We also investigate the specification error of the mean and variance of dividend per share when introducing the stochastic growth rate. Empirical results support the mean-reverting process of the growth rate and the importance of covariance between the profitability and the growth rate in determining dividend payouts. The intertemporal behavior of the covariance may shed some light on the fact of disappearing dividends over decades.

We assess the role of gold as a safe haven or hedge against the US dollar (USD) using copulas to characterize average and extreme market dependence between gold and the USD. For a wide set of currencies, our empirical evidence revealed (1) positive and significant average dependence between gold and USD depreciation, consistent with the fact that gold can act as hedge against USD rate movements, and (2) symmetric tail dependence between gold and USD exchange rates, indicating that gold can act as an effective safe haven against extreme USD rate movements. We evaluate the implications for mixed gold-currency portfolios, finding evidence of diversification benefits and downside risk reduction that confirms the usefulness of gold in currency portfolio risk management.

This paper empirically investigates the impact of the first announcement of TARP, the announcement of revised TARP, respective capital infusions under TARP–CPP and capital repayments on changes in shareholder value and the risk exposure of supported US banks. Our analysis reveals a light and a dark side of TARP. While announcements as well as capital repayments may provoke positive wealth effects and a decrease in bank risk, equity capital injections to banks are observed to be a severe impediment to restore market confidence and financial stability. Furthermore, while TARP announcements and capital injections may increase systemic risk, no significant effect on systemic risk is found for capital repayments.

We analyze gains from intercorporate sales of mutual fund subsidiaries, using mandated SEC disclosures to assess the performance of mutual funds transferred by these transactions. Sellers are financial conglomerates (banks) using equity-based deals to transfer poorly performing funds to highly focused asset management companies. The transferred funds experience significant improvements in risk-adjusted returns, efficiency, and asset growth. These improvements are closely correlated with the gains in wealth to buyers and sellers at deal announcements, indicating the market efficiently capitalizes expected performance improvements. Our results provide evidence that these transactions transfer assets to acquirers better able to manage them, generating gains for fund holders and buyer and seller shareholders.

Advances in information-processing technology have eroded the advantages of small scale and proximity to customers that traditionally enabled small lenders to thrive. Nonetheless, the membership and market share of US credit unions have increased, though their average size has also risen. We investigate changes in the efficiency and productivity of US credit unions during 1989–2006 by benchmarking the performance of individual firms against an estimated order-α quantile lying “near” the efficient frontier. We construct a cost analog of the Malmquist productivity index, which we decompose to estimate changes in cost and scale efficiency, and changes in technology. We find that cost-productivity fell on average across all credit unions but especially among smaller credit unions. Smaller credit unions confronted a shift in technology that increased the minimum cost required to produce given amounts of output. All but the largest credit unions also became less scale efficient over time.

When a firm cross-lists its shares in segmented markets, the price of the first issued share, as a reference, plays both an informational and anchoring role in pricing the second issued share. We develop a model illustrating the dual-role. Empirically, we examine a group of Chinese firms that first issue foreign shares and then domestic A-shares, for which the anchoring effect adds to the A-share underpricing. Consistent with the model predictions, we find that the A-share underpricing is positively related to the difference in costs of capital in the two segmented markets, and that this positive association is weaker when participants are less likely to resort to the anchoring heuristic and when the A-share valuation involves less uncertainty.

We measure an individual stock’s misvaluation based on the deviation of its price from predicted intrinsic value. Both under- and overvalued stocks identified by this misvaluation measure exhibit greater valuation uncertainty and arbitrage difficulty, and the misvaluation measure strongly predicts stock returns incremental to size, book-to-market ratio, past returns, and various return anomalies. Based on the misvaluation measure, we form a misvaluation factor and find that stock return covariances with this factor possess significant and robust return predictive power. We further show that the misvaluation factor predicts future economic conditions, providing additional insight into the real effect of systematic misvaluation in the stock market.

This paper presents new evidence on the relationship between competition and innovation by extending previous literature from manufacturing to financial services. We introduce a new measure of overall innovation by estimating and enveloping annual minimum cost frontiers to create a global frontier. The distance to the global frontier constitutes each bank’s technology gap, which decreases if the bank manages to innovate. Our innovation measure enables us to derive and estimate the model of Aghion et al. (2005b) at the firm level for the US banking industry. Based on individual bank Call Report data for the period 1984–2004, consistent with theoretical and empirical work by Aghion et al., we find evidence of an inverted-U relationship between competition and innovation that is robust over several different specifications. Further evidence on major structural changes in the US banking industry indicates that banks moved beyond their optimal innovation level and that interstate banking deregulation resulted in lower bank innovation. Policy implications to financial reform and prudential regulation are discussed also.

Using a unique database in China, we extend the literature to further distinguish the information production role of star vs. non-star analysts. We confirm the general conclusion of a positive association between analyst coverage and stock return synchronicity measured by a firm’s R2 in China. The findings from star analysts, however, show that star analyst coverage actually decreases stock return synchronicity. We contend that the firm-specific human capital in star analysts helps the analysts overcome the challenges of information production in an emerging market. The superior firm-specific human capital argument of star analysts is further supported by the negative association of star analysts’ firm-specific experiences and stock return synchronicity. Our conclusions are robust to different specifications of star analyst presence and different definitions of analysts’ firm-specific experiences. We also find that star analysts exhibit a more accurate earnings forecast than non-star analysts.