Characteristics, Contracts, and Actions: Evidence from Venture Capitalist Analyses

We study the investment analyses of 67 portfolio investments by 11 venture capital (VC) firms. VCs consider the attractiveness and risks of the business, management, and deal terms as well as expected post-investment monitoring. We then consider the relation of the analyses to the contractual terms. Greater internal and external risks are associated with more VC cash flow rights, VC control rights; greater internal risk, also with more contingencies for the entrepreneur; and greater complexity, with less contingent compensation. Finally, expected VC monitoring and support are related to the contracts. We interpret these results in relation to financial contracting theories.

Impact at Scale: Policy Innovation for Institutional Investment With Social and Environmental Benefit

Explores policy options to maximize impact investing opportunities for institutional investors and accelerate the development of impact investing practices and products. Presents case studies of and insights from investors and service providers

CAPM and APT-like models with risk measures.

The paper deals with optimal portfolio choice problems when risk levels are given by coherent risk mea sures, expectation bounded risk measures or general deviations. Both static and dynamic pricing models may be involved. Unbounded problems are characterized by new notions such as (strong) compatibility between prices and risks. Surprisingly, the lack of bounded optimal risk and/or return levels arises for important pricing models (Black and Scholes) and risk measures (VaR, CVaR, absolute deviation, etc.). Bounded problems present a Market Price of Risk and generate a pair of benchmarks. From these bench marks we introduce APT and CAPM like analyses, in the sense that the level of correlation between every available security and some economic factors explains the security expected return. The risk level non correlated with these factors has no influence on any return, despite the fact that we are dealing with risk functions beyond the standard deviation.Risk measure; Compatibility between prices and risks; Efficient portfolio; APT and CAPM-like models;

Sources of Alpha and Beta in Property Funds

This paper examines issues related to potential analytical performance systems for global property funds. These will include traditional attribution methods but will also cover the performance concepts of alpha and beta widely used in other asset classes. We look at issues including...what creates beta, and what drives alpha in real estate investment? How can it be measured and isolated? How do these concepts relate to traditional attribution systems? Can performance records and performance fees adequately distinguish between these drivers? In this paper we illustrate these issues by reference to a case study addressing the complete performance record of a single unlisted fund.unlisted property funds, performance attribution

Attribution analysis of property portfolios

This paper aims to clarify the potential confusion about the application of attribution analysis to real estate portfolios. Its three primary objectives are: · To review, and as far as possible reconcile, the varying approaches to attribution analysis evident in the literature. · To give a clear statement of the purposes of attribution analysis, and its meaning for real-world property managers. · To show, using real portfolio data from IPD's UK performance measurement service, the practical implications of applying different attribution methods

Efficient Benchmarking of Algorithm Configuration Procedures via Model-Based Surrogates

The optimization of algorithm (hyper-)parameters is crucial for achieving peak performance across a wide range of domains, ranging from deep neural networks to solvers for hard combinatorial problems. The resulting algorithm configuration (AC) problem has attracted much attention from the machine learning community. However, the proper evaluation of new AC procedures is hindered by two key hurdles. First, AC benchmarks are hard to set up. Second and even more significantly, they are computationally expensive: a single run of an AC procedure involves many costly runs of the target algorithm whose performance is to be optimized in a given AC benchmark scenario. One common workaround is to optimize cheap-to-evaluate artificial benchmark functions (e.g., Branin) instead of actual algorithms; however, these have different properties than realistic AC problems. Here, we propose an alternative benchmarking approach that is similarly cheap to evaluate but much closer to the original AC problem: replacing expensive benchmarks by surrogate benchmarks constructed from AC benchmarks. These surrogate benchmarks approximate the response surface corresponding to true target algorithm performance using a regression model, and the original and surrogate benchmark share the same (hyper-)parameter space. In our experiments, we construct and evaluate surrogate benchmarks for hyperparameter optimization as well as for AC problems that involve performance optimization of solvers for hard combinatorial problems, drawing training data from the runs of existing AC procedures. We show that our surrogate benchmarks capture overall important characteristics of the AC scenarios, such as high- and low-performing regions, from which they were derived, while being much easier to use and orders of magnitude cheaper to evaluate

Structure and determinants of financial covenants in leveraged buyouts - evidence from an economy with strong creditor rights

We apply control rights theory to explain the structure and determinants of financial covenants in private equity backed leveraged buyouts. We analyze 130 German transactions from 2000 to 2008, covering about 40 percent of the LBO market during this period. We consider Germany to be a superior institutional context as creditors have substantial rights in case of borrower default and contracts are negotiated more rigorously. Regarding structure we find that the financial covenant structure, in terms of number and types, is standardized and appears to be much more conservative than in the United States. Additionally, our results suggest that financial covenants are designed in a hierarchical manner, with the Debt to EBITDA covenant being the first to breach in early years. Regarding determinants we are the first, to our knowledge, to apply a direct measure of financial covenant restrictiveness, which is the real negotiated item between lead arrangers and sponsors. Our results show that financial covenant restrictiveness is significantly negatively related to the size of the private equity group, which serves as a proxy for reputation. Further we show that target-related factors, like growth and profitability, have a strong impact on financial covenant restrictiveness. With regard to transaction-based factors, increasing financial risk leads to more restrictive financial covenants. --financial covenants,leveraged buyouts,financing structure,control rights

Portfolio Methods for Optimal Planning: an Empirical Analysis

Combining the complementary strengths of several algorithms through portfolio approaches has been demonstrated to be effective in solving a wide range of AI problems. Notably, portfolio techniques have been prominently applied to suboptimal (satisficing) AI planning. Here, we consider the construction of sequential planner portfolios for (domain- independent) optimal planning. Specifically, we introduce four techniques (three of which are dynamic) for per-instance planner schedule generation using problem instance features, and investigate the usefulness of a range of static and dynamic techniques for combining planners. Our extensive experimental analysis demonstrates the benefits of using static and dynamic sequential portfolios for optimal planning, and provides insights on the most suitable conditions for their fruitful exploitation

Long-run Performance Following Cross-Listing: A Re-examination

We analyze the long-run performance of the population of Canadian firms that cross-list in the US between 1990 and 2005, paying particular attention to cross-delisting companies. We ask why, since numerous firms cross-list to get the advantages associated with cross-listing, these firms' long-run performance is purportedly abnormally poor. Using robust empirical methods, we find no evidence of a significant underperformance by Canadian firms after cross-listing. Rather, we find that the previously documented underperformance following cross-listing can be traced to a combination of the choice of method, sample selection, and survival biases. This is an up-date version of the working paper published on November 2007 under the same reference. Selon les études antérieures, le rendement à long terme des titres qui s’inscrivent aux États-Unis (qui s’interlistent) est anormalement faible. Nous réexaminons ces résultats, qu’il est difficile de concilier avec les avantages procurés par cette opération et qui ne permettent pas d’expliquer le grand nombre d’interlistages observés récemment. Nous étudions la population des sociétés ouvertes canadiennes qui se sont inscrites aux États-Unis entre 1990 et 2005, en utilisant différentes méthodologies et indices. Une attention particulière est également portée aux désincriptions. En utilisant des méthodologies robustes, nous n’observons aucune performance anormale suite à l’interlistage des sociétés canadiennes. Nos résultats indiquent que les résultats antérieurs de sous performance à long terme pourraient provenir d’une combinaison de choix méthodologique et de biais de sélection et de survie. Ce document est une mise à jour de celui-ci publié en novembre 2007 sous le même numéro.international cross-listing, abnormal performance, event-time methods, calendar-time methods, international asset pricing mode, interlistage international, performance anormale, méthodes en temps évènementiel, méthodes en temps calendaire, modèle d’évaluation des actifs international