Bond excess returns can be predicted by macro factors, however, large parts remain still unexplained. We apply a novel term structure model to decompose bond excess returns into expected excess returns (risk premia) and the innovation part. In order to explore these risk premia and innovations, we complement macro variables by financial condition variables as possible determinants of bond excess returns. We find that the expected part of bond excess returns is driven by macro factors, whereas innovations seem to be mainly influenced by financial conditions, before and after the financial crisis. Thus, financial conditions, such as financial stress, deserve attention when analyzing bond excess returns

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.

We show that the effect of non-interest income on systemic risk exposures varies with bank size and a country’s institutional setting. Non-interest income reduces large banks’ systemic risk exposures, whereas it increases that of small banks. However, exploiting heterogeneity in countries’ institutional setting, we show that the bright side of innovation by large banks (lower systemic risk exposure for diversified banks) disappears in countries with more private and asymmetric information, more corruption and in concentrated banking markets. These empirical findings provide support for Saunders and Cornett (2014) who hypothesize which institutional features make the materialization of conflicts of interest more likely

Since the 2008 financial crisis, the mortgage market has been renovating its tools and instruments in order to avoid a new crisis. One such innovative instrument is the participating mortgage, in which the lender gains part of the net operating income and/or future appreciation. In this paper, we establish a financing model for participating mortgages, incorporating early termination options such as default and two prepayment clauses, defeasance and prepayment penalty. Later, we illustrate a detailed sensitivity analysis of the model. The values of early termination options depend on the choice of parameters in the model, as well as the term structure of short term rates. Finally, we show that a participation rate of 11.24% results in zero mortgage interest rate using the parameters in our simulation

This paper investigates the process of banking integration in the EU15 countries and the Eurozone by testing for convergence in bank efficiency among commercial banks. We use a two-step approach: First we estimate efficiency by applying an innovative methodological approach that treats banks’ non-performing loans as an undesirable output. Second, we apply the Phillips and Sul (2007) panel convergence methodology to assess the convergence process in European banking. Our results indicate an overall decline in efficiency and no evidence of group convergence following the financial crisis. However, we find the presence of club formation with typically weak convergence. The heterogeneity displayed by the transition parameters for the individual countries and the notable decrease in competition levels post 2008 highlight the impact of the financial crisis on the integration process

This study applies the Cointegrated Vector-Autoregressive (CVAR) model to analyze the long-run relationships and short-run dynamics between stock markets and monetary policy across five developed and three emerging economies. Our main aim is to check whether monetary policy plays an important role for stock market developments. As an innovation, monetary policy enters the analysis from three angles: in the form of a broad monetary aggregate, short-term interest rates and net capital flows. Based on this framework, we analyze whether central banks are able to influence stock market developments. Our findings suggest different patterns and causalities for emerging and industrial economies with the stock markets of the former economies more frequently related to monetary aggregates and capital flows. A direct long-run impact from short-term interest rates on stock prices is only observed for 3 out of 8 economies

Markov switching vector error correction asymmetric long memory volatility models with fat tailed innovations are proposed. Bivariate two state versions of the models are applied to a futures hedge of the S&P500. Regime switches occur between high and low cost of carry states via changes in the error correction term or basis. Regime identification is therefore dominated by switches in the mean, not volatility. Relative to a number of alternatives, the proposed models provide superior out of sample forecasts of the covariance matrix particularly for horizons greater than 10days ahead. When hedging, Markov switching with long memory improves the tail risk of hedged returns beyond 10day horizons, however there is mixed support for models with volatility asymmetries. These findings have important implications for the development of multivariate models and other applications including portfolio management, spread option pricing and arbitrage

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

This paper examines the performance of European banks during the pre-crisis and post-crisis periods, both in terms of technical and allocative efficiencies. We use an innovative Bayesian dynamic frontier model that: (1) distinguishes between short-run and long-run performance; and (2) provides impulse response functions to examine the dynamic effect of shocks in technical and allocative inefficiencies. Based on a rich sample of European banks, we show that while there was a drop in efficiency for most countries following the crisis, the long-run results suggest improvement both in terms of technical and allocative efficiencies. The impulse response functions also show that in the case of shocks in the system, banks seem to revert back to these long-run allocative efficiency scores. We discuss the results in terms of the current financial crisis and provide interesting implications for the European banking industry. We also discuss the determinants of technical and allocative efficiencies. (We would like to thank Professor Allen N. Berger and Professor Andy Mullineux for their valuable comments on the early version of this paper

A mixture innovation time-varying parameter VAR model is used to examine the impact of structural oil price shocks on U.S. stock market return. Time variation is evident in both the coefficients and the variance-covariance matrix. The standard deviations of the demand side structural shocks reached forty year peaks during the global financial crisis and have remained high since. In the real stock return equation the coefficient of global real economic activity has declined since the late 1990s and that of oil-market specific demand oil shock has been lower since the early 1990s than before. The structural oil shocks account for 25.7% of the long-run variation in real stock returns overall, with substantial change in levels and sources of contribution over time. The contribution of shocks to global real economic activity to real stock return variation rose sharply to 22% in 2009 (and remains 17% over 2009-2012). The contribution of oil-market specific demand price shocks rose unevenly from 5% in the mid-1970s to about 15% in 2007, with a subsequent decline. The contribution of oil supply shocks has trended downward from 17% to 5% over 1973-2012