Contributions in Merlin

We investigate the impact of high-frequency trading (HFT) on market quality and investor welfare using a general limit order book model. We find that while the presence of HFT always improves market quality under symmetric information, under asymmetric information this is the case only if competition between high-frequency traders is sufficiently strong. While HFT does not negatively impact investor welfare, it reduces the welfare of slow speculators. The flexibility of the model allows investigating the effect of the main recent regulatory initiatives designed to curb HFT on market quality and investor welfare. We consider time-in-force rules, cancellation fees, transaction taxes, rebate fee structures, and speed bumps. While some of these regulations lead to improvements in a number of market quality measures, this generally does not translate into higher welfare for long-term investors. Rather, the main effect of such regulations is to generate wealth transfers from high-frequency traders to slow speculators. These regulations therefore appear inadequate to enhance investor welfare in the presence of HFTs. Of the different measures, transaction taxes are the least harmful; while they reduce welfare roughly by the amount of the tax, they do not significantly worsen market quality. The common practice by exchanges of granting rebates to limit orders is detrimental to market quality and investor welfare, causing both higher effective spreads and longer execution times.

Microfinance has played a key role in including the poor in financial markets. This paper uses microfinance data to approximate financial inclusion in the poorer segments of the population and proposes a quantile regression approach to study the development of microfinance markets. Our approach accounts for the dynamic and heterogeneous impacts that key drivers may have across different stages of market development. It also allows us to go beyond correlations and gets us closer to identifying causal relationships. Our key findings indicate that: i) Microfinance markets are more responsive to the needs of the bottom of the pyramid than to potential growth opportunities. ii) Enabling institutions that provide credit information become increasingly important with higher market complexity. iii) Formal financial development is a complement of microfinance development. iv) Technologies can help to overcome market entry barriers, and to enable a higher inclusion in markets with a high degree of complexity. Our results could help policymakers and investors better understand and influence financial inclusion at the bottom of the pyramid across different stages of market development.

We use a survey approach to learn about valuation professionals’ choices and implementations of valuation techniques in practice. The survey design allows us to control for a respondent’s professional subgroup (e.g., consulting), education, experience, and valuation purpose characteristics. We find support for the “sociological hypothesis” that profession matters more than education; different professions have different valuation cultures. Other factors are less important. There are also many commonalities across respondents. Most use both multiples and DCF, but implement DCF in a way that almost turns it into a multiples exercise. Confusion reigns with respect to interest tax shields and the WACC. Higher educational levels do not reduce the confusion. Our overall findings matter because valuation professionals function as intermediaries in the capital allocation process. The relative unimportance of education raises questions about the role and benefit of higher level finance education.

We analyze the effect of applied research institutions on regional innovation activity. Exploiting a policy reform that creates tertiary education institutions conducting applied research, the Universities of Applied Sciences (UASs) in Switzerland, we apply difference-in-differences estimations to investigate the effect on innovation quantity and quality. Findings show a 7.7 to 13 percent increase in regional patenting activity (i.e., quantity), and a 1.3 to 11 percent increase in patent family size, and the number of granted patents, claims, and citations per patent (i.e., quality). Findings are robust to various model specifications, suggesting that applied research taught in UASs boosts regional innovation.

We study loan conditions when bank branches close and firms subsequently transfer to a branch of another bank in the vicinity. Such transfer loans allow us for the first time to observe the conditions granted when banks pool-price new applicants. Consistent with recent theoretical work on hold up in bank-firm relationships we find that transfer loans do not receive the discount in loan rates that prevails when firms otherwise switch banks. We hereby critically augment recent empirical evidence on dynamic cycles in loan rates.

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Financial networks have shown to be important in understanding systemic events in credit markets. In this paper, we investigate how the structure of those networks can affect the capacity of regulators to assess the level of systemic risk. We introduce a model to compute the individual and systemic probability of default in a system of banks connected in a generic network of credit contracts and exposed to external shocks with a generic correlation structure. Even in the presence of complete knowledge, we identify conditions on the network for the emergence of multiple equilibria. Multiple equilibria give rise to uncertainty in the determination of the default probability. We show how this uncertainty can affect the estimation of systemic risk in terms of expected losses. We further quantify the effects of cyclicality, leverage, volatility and correlations. Our results are relevant to the current policy discussions on new regulatory framework to deal with systemic events of distress as well as on the desirable level of regulatory data disclosure.

Wealth management constitutes an important aspect of today's banking world, but very little is known about what explains the differences among banks in their ability to attract new assets under management. Using a unique panel database of Swiss private banks, we test the hypothesis that the performance of a bank in attracting new money depends on two input factors: skill and reputation. Relatively skilled banks -- that is, banks that are more cost-efficient than predicted by their input factors -- also perform better in attracting net new money. We also find that negative media coverage (such as in the context of fraudulent business practices related to tax evasion) strongly diminishes the future ability to attract assets under management, especially at small banks. The present value of lost profits is 3.35 (0.73) times the median annual net profit of a small (large) bank. Thus, adding to the explicit fines that many Swiss banks had to pay in the course of the U.S. Department of Justice's investigations, there are substantial implicit and reputational costs to banks of having negative media coverage. Investment performance for clients seems not to explain future net new money growth. In sum, these results underscore the importance of trust in money management.

In this paper, a new technique for pricing of European and American Parisian options, that we call the québécoisation method, is developed. We study the pricing of Parisian options in a hyper-exponential jump-diffusion model using the double Laplace-Carson transform with respect to the time to maturity and the residual Parisian time (time to expiration of the Parisian window) of the system of two partial integro-differential equations describing the option price dynamics. The transformed, i.e., québécoised, option price and hedging parameters delta and gamma are computed in a closed form, and the final results are obtained via the two-dimensional Gaver-Stehfest inversion algorithm. Our pricing method is analytically tractable, and it provides important economic insights for pricing and hedging of European and American Parisian options in the presence of jumps.