For alternative assets such as venture capital, buyouts (private equity), real estate, etc., the standard regression of portfolio returns on market returns to measure risk produces risk measures that are not credible. Institutional investors, doubting such measures, instead often use either some...

Managing risk is one of the main activities of venture capital companies. Despite the fact that this topic is of high practical relevance, only little research was published on risk management performed by venture capital companies in their ventures. Hence, we conducted a structured literature...

Risk forecasting is crucial for informed investment decision-making. Moreover, the salience of investment risk increases during economically uncertain times. In this paper, we study how sell-side analysts form expectations of firm risk, under different macroeconomic conditions (low versus high...

Financial institutions commonly face the risk that large trades will execute at unfavorable prices due to price impact effects from insufficient market liquidity. A typical method to manage these price impact effects is to split a given order into smaller pieces and to trade these pieces...

We develop a dynamic valuation model of the hedge fund seeding business by solving the consumption and portfolio-choice problem for a risk-averse manager who launches a hedge fund through a seeding vehicle. This vehicle, i.e. fees-for-seed swap, specifies that a strategic partner (seeder)...

In this paper, we propose a method for hedge fund replication using a factor-based model supplemented with a series of risk and return constraints that implicitly target all the moments of the hedge fund return distribution. We use the approach to replicate the monthly returns of ten broad hedge...

We use proprietary data to examine factors that lead hedge fund managers to offer hurdle rates and investigate relative hedge fund performance based on risk adjusted returns. Using data from 3,571 hedge funds over a 15 year period, we find that funds that do not offer a hurdle rate outperform...

Despite the sometimes intensive media coverage and exuberant storytelling around the industry, venture capital (VC) investors tend to operate in highly opaque markets. On this premise, this work contributes to the literature via a hand-collected dataset of about 3,600 EIF-backed VC investments...

For years, research has been conducted to correctly model and predict the risk and return structures of Private Equity (PE) funds. Although past research has revealed valuable insight into the features of those funds, most risk and return model struggle with the dispersion of PE funds' returns,...

Risk models commonly used in practice disregard the diversifiable risk of LP's PE portfolios. Based on a unique data set we find evidence that the relevance of idiosyncratic portfolio risk might be underrated. Our simulation results show that diversification across the number deals significantly...