IPOs,acquisitions, and the use of convertible securities in venture capital

This paper provides a new explanation for the use of convertible securities in venture capital. A key property of convertible preferred equity is that it allocates different cash flow rights, depending on whether exit occurs by acquisition or IPO. The paper builds a model with double moral hazard, where both the entrepreneur and the venture capitalist provide value-adding effort. The optimal contract gives the venture capitalist more cash flow rights in acquisitions than IPOs. This explains the use of convertible preferred equity, including automatic conversion at IPO. Contingent control rights are also important for achieving efficient exit decisions.     

Competition and cooperation among exchanges: A theory of cross-listing and endogenous listing standards

We analyze firms’ choice of exchange to list equity and exchanges’ choice of listing standards when insiders have private information about firm value, but outsiders can produce (noisy) information at a cost. Exchanges are populated by two kinds of investors, whose numbers vary across exchanges: sophisticated (low information production cost) investors and ordinary (high–cost) investors. While firms are short-lived, exchanges are long-lived, value-maximizing agents whose listing and disclosure standards evolve over time. The listing standards chosen by exchanges affect their “reputation,” since outsiders can partially infer the rigor of these standards from the post-listing performance of firms. We show that, while exchanges use their listing standards as a tool in competing for listings with other exchanges, this will not necessarily lead to a “race to the bottom” in listing standards. Further, a merger between two exchanges may result in a higher listing standard for the combined exchange relative to that of either of the merging exchanges. We develop several other implications for firms’ listing choices and resulting valuation effects, the impact of competition and co-operation among exchanges on listing standards, and the optimal regulation of exchanges.     

Trading Costs in Early Securities Markets: The Case of the Berlin Stock Exchange 1880-1910

Based on daily prices (amtliche Kurse) we estimate effective spreads of securities traded at the Berlin Stock Exchange in 1880, 1890, 1900 and 1910. Several extensions of the Roll measure are applied. We find surprisingly tight effective spreads for the historical data, comparable with similar measures of the MDAX and DAX at the end of the 20th century.     

Testing for Vertical Fiscal Externalities

The purpose of this paper is to design a test of whether the vertical external effects associated with tax base sharing among local and regional governments have become internalized via the intergovernmental transfer system. Such tests are important in the sense that the income tax rates chosen by different levels of government will generally be correlated, even if the resource allocation is optimal from society's point of view. By using panel data for the Swedish local and regional public sectors, the results imply that an increase in the regional income tax rate induces the municipalities in the region to decrease their income tax rates. In addition, we are able to reject the null hypothesis that the vertical external effects have become internalized.     

Enterprise Risk Management and the Cost of Capital

Enterprise risk management (ERM) is a process that manages all risks in an integrated, holistic fashion by controlling and coordinating any offsetting risks across the enterprise. This research investigates whether the adoption of the ERM approach affects firms' cost of equity capital. We restrict our analysis to the U.S. insurance industry to control for unobservable differences in business models and risk exposures across industries. We simultaneously model firms' adoption of ERM and the effect of ERM on the cost of capital. We find that ERM adoption significantly reduces firm's cost of capital. Our results suggest that cost of capital benefits are one answer to the question how ERM can create value.     

Learning minimum variance discrete hedging directly from the market

Option hedging is a critical risk management problem in finance. In the Black–Scholes model, it has been recognized that computing a hedging position from the sensitivity of the calibrated model option value function is inadequate in minimizing variance of the option hedge risk, as it fails to capture the model parameter dependence on the underlying price (see e.g. Coleman et al., J. Risk, 2001, 5(6), 63–89; Hull and White, J. Bank. Finance, 2017, 82, 180–190). In this paper, we demonstrate that this issue can exist generally when determining hedging position from the sensitivity of the option function, either calibrated from a parametric model from current option prices or estimated nonparametricaly from historical option prices. Consequently, the sensitivity of the estimated model option function typically does not minimize variance of the hedge risk, even instantaneously. We propose a data-driven approach to directly learn a hedging function from the market data by minimizing variance of the local hedge risk. Using the S&P 500 index daily option data for more than a decade ending in August 2015, we show that the proposed method outperforms the parametric minimum variance hedging method proposed in Hull and White [J. Bank. Finance, 2017, 82, 180–190], as well as minimum variance hedging corrective techniques based on stochastic volatility or local volatility models. Furthermore, we show that the proposed approach achieves significant gain over the implied BS delta hedging for weekly and monthly hedging.     

From standard to evolutionary finance: a literature survey

Management Review Quarterly - The traditional financial paradigm seeks to understand financial markets by using models in which markets are perfect, which includes agents who are...     

The Roles of Innovators and Labor in a Schumpeterian Factor Endowments Based Model of Intra‐industry Trade

This paper builds a model of Schumpeterian innovation and trade that emphasizes endowments of innovators and labor as a key factor in determining the pattern of trade. The model suggests a strong complementarity between intra‐industry and inter‐industry trade. The pattern of inter‐industry vs intra‐industry trade is analyzed using the Grubel–Lloyd index. The theoretical model predicts that the prominence of intra‐industry trade is a nonlinear function of the ratio of the proportion of world knowledge domestically generated to the domestic share of the world labor supply. Strong empirical evidence for this key result is presented and implications are discussed.     

Healthcare burden and reimbursement of hospitalization during chemotherapy for adults with Ph-negative relapsed or refractory B-cell precursor acute lymphoblastic leukemia in France: a retrospective chart review

Objective: Philadelphia chromosome negative [Ph(?)] relapsed or refractory (R/R) B-precursor acute lymphoblastic leukemia (ALL) is an extremely rare condition requiring intensive treatment. This retrospective chart review aimed to quantify hospitalizations and reimbursement in this patient population in France.

Methods: Patients aged ≥18 years and with at least one hospitalization for Ph(?) R/R B-precursor ALL were included in the study. They were relapsed with first remission lasting <12 months, relapsed after first salvage therapy, relapsed any time after hematopoietic stem cell transplant (HSCT), or were refractory to initial or salvage therapy. Data were collected from the index date (first diagnosis of R/R ALL) until death or loss to follow-up. The chemotherapy period was defined as the first chemotherapy date after the index date to the earliest of death, loss to follow-up, last chemotherapy dose plus 30 days, or initiation of HSCT. The primary outcome was the percentage of time hospitalized during the chemotherapy period.

Results: Thirty-three patients were included, with a mean age of 49 years. The mean proportion of time spent in the hospital during the chemotherapy period was 46% (95% CI =34–57%). Patients had a mean of 2.2 (SD =1.5) inpatient hospitalizations and the mean length of stay per hospitalization was 16.8 (SD =14.8) days. During the chemotherapy period, the mean amount reimbursed per hospitalization was €31 067 (SD = €4850) and the total hospitalization reimbursement per patient was €68 344. From the index date to death, excluding HSCT, the total reimbursement per patient was €108 873.

Limitations: The sample size was small, although this was expected given the rarity of the patient population.

Conclusions: Adults with Ph(?) R/R B-precursor ALL had repeated and prolonged hospitalizations during salvage chemotherapy. Approximately half the follow-up period was spent in the hospital, and this time was associated with high economic burden in France.