The securitization of gold and its potential impact on gold stocks

We study the market impact of a very successful financial innovation – the SPDR Gold Trust exchange-traded fund (GLD). GLD holds physical gold, and provides traders with a convenient and cost-effective way to gain exposure to gold. We find that after the introduction of GLD, the liquidity of gold company stocks declined, and their adverse-selection risk increased. Over the two-month period after GLD’s introduction, the stocks’ relative effective bid-ask spreads increased by over 15%, while their adverse-selection cost, as measured by the price impact of trades, went up by more than 30%. Gold stocks also experienced significant negative abnormal returns (−12% on average) in the month after GLD started trading. Our findings suggest that GLD attracted traders, especially uninformed traders, away from gold company stocks, and that the resulting negative demand shocks and decrease in the stocks’ liquidity caused their prices to decline. Our results show that existing securities can be seriously adversely affected when a new security enters the market.     

Pitfalls and perils of financial innovation: The use of CDS by corporate bond funds

We use the financial crisis of 2007–2009 as a laboratory to examine the costs and benefits of teams versus single managers in asset management. We find that when a fund uses complex trading strategies involving the use of CDS team-managed funds outperform solo-managed funds. This may be due to the greater diversity of expertise, experience and skill of teams relative to single managers. During the financial crisis, however, the performance premium of teams becomes negative, which may be because of the slower decision times of teams, which are especially costly during times of rapidly changing market conditions.     

Generalized runs tests to detect randomness in hedge funds returns

The major contribution of this paper is to make use of generalized runs tests (Cho and White, 2011) to analyze the randomness, i.e. the lack of persistence, in both absolute and relative returns of hedge funds. We find that about 42% of the HFR universe exhibit iid absolute returns over the period spanning 2000 to 2012. These funds are mainly found in proportions within the Macro and Equity Hedge strategies. A similar result holds for relative returns. We also find that funds having non-iid returns often exhibit ARCH effects and structural breaks, with largest breaks located within financial crises. Also, only a small percentage displays persistence in their relative performance, 8.2% to 16.7% of the universe, mainly found in proportions within the Relative Value and Event-Driven strategies. The robustness of results is challenged by implementing the tests on a crisis-free period. We find similar results for absolute returns. For relative ones, differences appear across strategies and benchmarks, but still both ARCH and breaks are present. Our work contributes to the hedge fund literature in terms of methodology, portfolio allocation, and performance measurement.     

Fire sales by euro area banks and funds: What is their asset price impact?

The assets under management of investment funds have soared in recent years, triggering a debate on their possible implications for financial stability. We contribute to this debate assessing the asset price impact of fire sales in a novel partial equilibrium model of euro area funds and banks calibrated over the period between 2008 and 2017. An initial shock to yields causes funds to sell assets to address investor redemptions, while both banks and funds sell assets to keep their leverage constant. These fire sales generate second-round price effects. We find that the potential losses due to the price impact of fire sales have decreased over time for the system. The contribution of funds to this impact is lower than that of banks. However, funds’ relative contribution has risen due to their increased assets under management and banks’ lower leverage and rebalancing towards loans. Should this trend continue, funds will become an increasingly important source of systemic risk.     

Measuring the deadly embrace: Systemic and sovereign risks

This study contributes to the literature by making a first step toward implementing a comprehensive internally coherent measurement of systemic risk in a country. It measures systemic risk and the ensuing conditional contingent liabilities of the sovereign stemming from Luxembourg’s Other Systemically Important Institutions (OSIIs), the Global Systemically Important Banks (G-SIBs) to which they belong, the investment funds sponsored by the OSIIs, the household and the non-financial corporate sectors. The ensuing estimated systemic contingent claims are included in a stochastic version of the general government’s balance sheet to gauge their impact on the country’s sovereign risk. Results indicate that time-varying conditional implicit guarantees from OSSIs are larger than those from G-SIBs and investment funds, while systemic risk stemming from the household and non-financial corporate sectors is moderate. The robustness of the sovereign is not drastically affected by systemic risk stemming from the rest of the economy. However, illustrating the so-called “deadly embrace”, sovereign risk would significantly rise as a result of a historically plausible increase in sovereign assets’ value volatility combined with an economy-wide shock. The main policy implication is that financial stability stands on two columns, a resilient financial sector and a sustainable fiscal position.     

Life-cycle funds: Much Ado about Nothing?

The core idea of life-cycle funds or target-date funds is to decrease the fund's equity exposure and conversely increase its bond exposure towards the fund's target date. Such funds have been gaining significant market share and were recently set as default choice of asset allocation in numerous defined contribution schemes or related old-age provision products in several countries. Hence, an assessment of life-cycle funds’ risk-return profiles – that is, the probability distribution of returns – is essential for sustainable financial planning of a large group of investors. This paper studies the risk-return profile of life-cycle funds in particular compared to simple balanced or lifestyle funds that apply a constant equity portion throughout the fund's term instead. In a Black–Scholes model, we derive balanced funds that reproduce the risk-return profile of an arbitrary life-cycle fund for single and regular contributions. We then analyze the accuracy of our results under more complex asset models with stochastic interest rates, stochastic equity volatility and jumps. We further show that frequently used ‘rule of thumb approximations’ that only take into account the life-cycle fund's average equity portion are not suitable to approximate a life-cycle fund's risk-return profile. Our results on the one hand facilitate sustainable financial planning and on the other hand challenge the very existence of life-cycle funds since appropriately calibrated balanced funds can offer a similar (often dominating) risk-return profile.     

A Generalized Nash Equilibrium network model for post-disaster humanitarian relief

We develop a Generalized Nash Equilibrium network model for post-disaster humanitarian relief by nongovernmental organizations (NGOs). NGOs derive utility from providing relief supplies to victims of the disaster at demand points in a supply chain context while competing with each other for financial funds provided by donations. The shared constraints consist of lower and upper bounds for demand for relief items at the demand points to reduce materiel convergence or congestion. This game theory problem is reformulated as an optimization problem and numerical examples and a theoretical case study on Hurricane Katrina given.     

On Monetary Policy and Stock Market Anomalies

This study utilizes a macro‐based VAR framework to investigate whether stock portfolios formed on the basis of their value, size and past performance characteristics are affected in a different manner by unexpected US monetary policy actions during the period 1967–2007. Full sample results show that value, small capitalization and past loser stocks are more exposed to monetary policy shocks compared with growth, big capitalization and past winner stocks. Sub‐sample analysis, motivated by variation in the realized premia and parameter instability, reveals that the impact of monetary policy shocks on these portfolios is significant and pronounced only during the pre‐1983 period.