Over ten trillion dollars are allocated to private market funds that require outside investors to commit to transferring capital on demand; most of these funds are Private Equity (PE). We show within a novel dynamic portfolio allocation model that ex-ante commitment has large effects on...

We estimate a nominal life-cycle portfolio choice model using shopping coststo generate money demand. The model delivers realistic implications forstock market participation and portfolio composition because money crowdsout other assets at lower levels of wealth. We quantify how...

Cumulative Prospect Theory (CPT) can explain the variance premium puzzle. We solve a simple equilibrium model with CPT investors and find that probability weighting plays a key role in generating a substantial variance premium, while loss aversion captures the equity premium. Using GMM on a...

We identify flight-to-safety (FTS) days for 23 countries using only stock and bond returns and a model averaging approach. FTS days comprise less than 2% of the sample, and are associated with a 2.7% average bond-equity return differential and significant flows out of equity funds and into...

We develop a dynamic valuation model of private equity (PE) investments by solving the portfolio-choice problem for a risk-averse investor (LP), who invests in a PE fund, managed by a general partner (GP). Key features are illiquidity, leverage, GP value-adding skills (alpha), and compensation,...

Motivated by a recent demographic study establishing a link between macroeconomic fluctuations and the mortality index kt in the Lee-Carter model, we develop a dynamic asset-liability model to assess the impact of macroeconomic fluctuations on the solvency of a life insurance company....

In a calibrated consumption-portfolio model with stock, housing, and labor income predictability, we evaluate the welfare effects of predictability on life-cycle consumption-portfolio choice. We compare skilled investors who are able to take advantage of all sources of predictability with...

Models can be wrong and recognising their limitations is important in financial and economic decision making under uncertainty. Robust strategies, which are least sensitive to perturbations of the underlying model, take uncertainty into account. Finding the explicit set of alternative models...

We search for a trading strategy and the associated robust price of unhedgeable assets in incomplete markets under the acknowledgement of model uncertainty. Our set-up is that we postulate an agent who wants to maximise the expected surplus by choosing an optimal investment strategy....

We develop a model that can match two stylized facts of the term-structure. The first stylized fact is the predictability of excess returns on long-term bonds. Modeling this requires sufficient volatility and persistence in the price of risk. The second stylized fact is that long-term yields are...