Knowledge that Transforms

The purpose of this paper is to highlight the evolution of financial institutions in the context of increasingly volatile foreign exchange markets. The paper discusses the importance of the formation of a single currency in the US in the 19th century and the formation of the Euro in the 20th century for reducing volatility in foreign exchange markets that have assisted financial institutions’ international business expansion. The paper also considers some of the key assumptions of an optimal currency theorem such as labour mobility and argues that in the 21st century, more comprehensive financial market integration and a single global currency could emerge, provided that capital mobility and hence foreign capital flows continue meeting labour in the host countries for production rather than the other way round.

This paper examines the relation between institutional investor involvement in and the operating performance of large firms. We find a significant relation between a firm’s operating cash flow returns and both the percent of institutional stock ownership and the number of institutional stockholders. However, this relation is found only for a subset of institutional investors: those less likely to have a business relationship with the firm. These results suggest that institutional investors with potential business relations with the firms in which they invest are compromised as monitors of the firm.

This paper contributes to our understanding of the informational content of implied volatility. Here we examine whether the S&P 500 implied volatility index (VIX) contains any information relevant to future volatility beyond that available from model based volatility forecasts. It is argued that this approach differs from the traditional forecast encompassing approach used in earlier studies. The findings indicate that the VIX index does not contain any such additional information relevant for forecasting volatility.

A price process is scale-invariant if and only if the returns distribution is independent of the price measurement scale. We show that most stochastic processes used for pricing options on financial assets have this property and that many models not previously recognised as scale-invariant are indeed so. We also prove that price hedge ratios for a wide class of contingent claims under a wide class of pricing models are model-free. In particular, previous results on model-free price hedge ratios of vanilla options based on scale-invariant models are extended to any contingent claim with homogeneous pay-off, including complex, path-dependent options. However, model-free hedge ratios only have the minimum variance property in scale-invariant stochastic volatility models when price–volatility correlation is zero. In other stochastic volatility models and in scale-invariant local volatility models, model-free hedge ratios are not minimum variance ratios and our empirical results demonstrate that they are less efficient than minimum variance hedge ratios.

Coherent measures of risk defined by the axioms of monotonicity, subadditivity, positive homogeneity, and translation invariance are recent tools in risk management to assess the amount of risk agents are exposed to. If they also satisfy law invariance and comonotonic additivity, then we get a subclass of them: spectral measures of risk. Expected shortfall is a well-known spectral measure of risk. We investigate the above mentioned six axioms using tools from general equilibrium (GE) theory. Coherent and spectral measures of risk are compared to the natural measure of risk derived from an exchange economy model, which we call the GE measure of risk. We prove that GE measures of risk are coherent measures of risk. We also show that spectral measures of risk are GE measures of risk only under stringent conditions, since spectral measures of risk do not take the regulated entity’s relation to the market portfolio into account. To give more insights, we characterize the set of GE measures of risk via the pricing kernel property.

In a newly liberalized credit market, foreign banks with cost advantages are likely to be less informed than domestic banks that hold information on credit risks. These relative advantages may generate incentives for a foreign bank to negotiate acquisition of a domestic bank in order to capture information endowments. However, if it is difficult to assess the value of information held by banks, the foreign bank will face important choices about the optimal mode of entry and what acquisition price to pay. These choices have implications for the survival of domestic banks and how capital is allocated after liberalization.

This paper shows that the impact of market structure on bank deposit interest rates is complex. Both market size structure and multimarket bank presence have independent effects on rates. There is evidence that mid-size banks were more aggressive competitors than other banks, but that the effect of market structure on deposit rates has evolved over time, with mega-banks recently becoming more aggressive competitors. This may be related to the growth of mega-banks in many markets. These findings have implications for existing theories of deposit pricing and, by extension, antitrust policy in banking.

Using monthly return data of more than 6400 US equity mutual funds we investigate short-run performance persistence over the period 1984–2003. We sort funds into rank portfolios based on past performance, and evaluate the portfolios’ out-of-sample performance. To cope with short ranking periods, we employ an empirical Bayes approach to measure past performance more efficiently. Our main finding is that when funds are sorted into decile portfolios based on 12-month ranking periods, the top decile of funds earns a statistically significant, abnormal return of 0.26 percent per month. This effect persists beyond load fees, and is mainly concentrated in relatively young, small cap/growth funds.

Market size structure refers to the distribution of shares of different size classes of local market participants, where the sizes are inclusive of assets both within and outside the local market. We apply this new measure of market structure in two empirical analyses of the US banking industry to address concerns regarding the effects of the consolidation in banking. Our quantity analysis of the likelihood that small businesses borrow from large versus small banks and our small business loan price analysis that includes market size structure as well as conventional measures yield very different findings from most of the literature on bank size and small business lending. Our results do not suggest a significant net advantage or disadvantage for large banks in small business lending overall, or in lending to informationally opaque small businesses in particular. We argue that the prior research that excluded market size structure may be misleading and offer some likely explanations of why our results differ.

It is frequently claimed that high ATM surcharges actually attract customers to the banks that impose them, particularly if they operate large ATM networks. By exploiting as “natural experiments” two events associated with the lifting of surcharge bans in Iowa and in the states that neighbor Iowa, this paper seeks to test for the implications of this phenomenon as it applies to the market shares of banking institutions and to several aspects of market structure. Consistent with predictions, results of “difference-in-difference” analyses suggest that the retail account shares of larger market participants increased relative to those of smaller competitors, market concentration increased, and the number of market competitors decreased after the lifting of surcharge bans – all relative to what would have occurred had there been no change in authority to surcharge.