Bank-based versus market-based financial systems: A growth-theoretic analysis

We study bank-based and market-based financial systems in an endogenous growth model. Lending to firms is fraught with moral hazard as owner-managers may reduce investment profitability to enjoy private benefits. Bank monitoring partially resolves the agency problem, while market-finance is more ‘hands-off’. A bank-based or market-based system emerges from firm-financing choices. Neither system is unequivocally better for growth, which crucially depends on the efficiency of financial and legal institutions. But a bank-based system outperforms a market-based one along other dimensions. Investment and per capita income are higher, and income inequality lower, under a bank-based system. Bank-based systems are also more conducive for broad-based industrialization.     

The politics of financial development: The role of interest groups and government capabilities

Although financial development is good for long-term growth, not all countries pursue policies that render full financial development. This paper builds on an extensive political economy literature to construct a theoretical model showing that the intensity of opposition to financial development by incumbents depends on both their degree of credit dependency and the role of governments in credit markets. Empirical evidence for this claim is provided, and the results suggest that lower opposition to financial development leads to an effective increase in credit markets’ development only in those countries that have high government capabilities. Moreover, improvements in government capabilities have a significant impact on credit market development only in those countries where credit dependency is high (thus, opposition is low). This paper therefore contributes to this rich literature by providing a unified account of credit market development that includes two of its main determinants, traditionally considered in isolation.     

Comparative advantage,demand for external finance,and financial development

This paper analyzes the effect of comparative advantage in international trade on a country's level of financial development. Countries with comparative advantage in financially intensive goods experience a higher demand for external finance, and therefore financial development. By contrast, financial development is lower in countries that primarily export goods which do not rely on external finance. We use disaggregated trade data to develop a measure of a country's external finance need of exports, and demonstrate this effect empirically. In order to overcome the simultaneity problem, we develop a novel instrumentation strategy based on the exogenous geographic determinants of trade patterns.     

The interest group theory of financial development: Evidence from regulation

We use a new dataset of de jure measures of trade, capital account, product market, and domestic financial regulation for 91 countries from 1973 to 2005 to test Rajan and Zingales’s (2003) interest group theory of financial development. In line with the theory, we find strong evidence that trade liberalization is a leading indicator of domestic financial liberalization. This result is robust to the use of different data frequencies (annual, 5-year intervals), estimation methods (OLS, 2SLS, system GMM) and a check for non-linear effects. However, in contrast to the theory, we do not find consistent evidence of an effect of capital account liberalization.     

Systemic risk contributions: A credit portfolio approach

We put forward a framework for measuring systemic risk and attributing it to individual banks. Systemic risk is coherently measured as the expected loss to depositors and investors when a systemic event occurs. The risk contributions are calculated so as to ensure a full risk allocation among institutions. Applying our methodology to a panel of 54–86 of the world’s major commercial banks for a 13-year time span with monthly frequency not only allows us to closely match the list of G-SIBs; we can also use individual risk contributions to compute bank-specific surcharges: systemic capital charges as well as countercyclical buffers. We therefore address both dimensions of systemic risk – cross-sectional and time-series – in a single integrated approach. As the analysis of risk drivers confirms, the main focus of macroprudential supervision should be on a solid capital base throughout the financial cycle and de-correlation of banks’ asset values.     

Banking crises,financial dependence,and growth

This paper contributes to the literature that analyzes the mechanisms linking financial shocks and real activity. In particular, we investigate the growth impact of banking crises on industries with different levels of dependence on external finance. If banks are the key institutions allowing credit constraints to be relaxed, then a sudden loss of these intermediaries in a system in which such intermediaries are important should have a disproportionately contractionary impact on the sectors that flourished due to their reliance on banks. Using data from 38 developed and developing countries that experienced financial crises during the last quarter century, we find that those sectors that are highly dependent on external finance tend to experience a substantially greater contraction of value added during a banking crisis in countries with deeper financial systems than in countries with shallower financial systems. Our results do not suggest, however, that on net the externally dependent firms fare worse in deep financial systems.     

Equity market integration in the Asia Pacific region: Evidence from discount factors

The paper investigates stock market integration among 10 economies in the Asia Pacific region over the period April to May 2006 based on a recently developed technique that relies on estimating expected discount rates; see [Flood and Rose, 2005a] and [Flood and Rose, 2005b]. The results show a limited but varying degree of stock market integration among the 10 economies. Membership in a formal economic organization does not seem to affect the degree of integration.     

Interaction between economic and financial development

This paper presents a model of financial and economic development which assumes the consumption of real resources by the financial sector. Financial development occurs endogenously as the economy reaches a critical threshold of economic development. Compared to financial autarky, financial intermediaries allocate savings, net of their costs of operation, to more productive investments. Whenever the technology financed by intermediaries is more capital-intensive than that operated in financial autarky, the growth effect of financial development is ambiguous. As a result, financial development may be unsustainable. However, when financial development is sustainable, the credit market becomes more competitive and more efficient over time, and this could eventually contribute to economic growth. Nonetheless, given monopolistic competition in the financial sector, the level of entry into the credit market is generally inefficient. For instance, with diminishing returns to specialisation, entrants might be too few at the early stages of economic development and too many later on.     

Improving performance of corporate rating prediction models by reducing financial ratio heterogeneity

We introduce a new approach to improve the performance of rating prediction models for multinational corporations. In this segment, the low number of defaults poses a challenge, as it prevents rating models to be constructed for individual industry sectors or regions. We show that reducing group-level heterogeneity in financial ratios results in a rating prediction model with better performance than both unadjusted models and models adjusted by including industry dummies or other simpler procedures. Our approach fills a gap in cases where a limited dataset does not permit the construction of separate models for individual industries or regions.     

Practical methods for measuring and managing operational risk in the financial sector: A clinical study

This paper analyzes the implications of the advanced measurement approach (AMA) for the assessment of operational risk. Through a clinical case study on a matrix of two selected business lines and two event types of a large financial institution, we develop a procedure that addresses the major issues faced by banks in the implementation of the AMA. For each cell, we calibrate two truncated distributions functions, one for “normal” losses and the other for the “extreme” losses. In addition, we propose a method to include external data in the framework. We then estimate the impact of operational risk management on bank profitability, through an adapted measure of RAROC. The results suggest that substantial savings can be achieved through active management techniques.     

Valuation of synthetic CDOs

In this paper, we consider the valuation of a synthetic collateralized debt obligation (CDO), a pool of underlying credit risky securities, “partitioned” into several tranches, each of which absorbs losses in accordance with its size and seniority. We derive a closed-form solution for credit spreads of the tranches of homogeneous pools and find an approximation for the credit spreads of inhomogeneous pools. The method leads to an accurate estimation of the credit spreads of synthetic CDOs and can be used in risk management applications.     

The Hull and White Model of the Short Rate: An Alternative Analytical Representation

Hull and White extend Ho and Lee's no‐arbitrage model of the short interest rate to include mean reversion. This addition eliminates the problem of negative interest rates and has found wide application. To implement their model, Hull and White employ a sequential search process to identify the mean interest rate in a trinomial lattice at each date. In this article we extend Hull and White's work by developing an analytical solution for the mean interest rate at each date. This solution applies equally well to trinomial lattices, interest rate trees, and Monte Carlo simulation. We illustrate the analytical result by applying it to an example originally used by Hull and White and then for valuing an option on a bond.     

Estimating financial risk measures for options

This paper proposes a simulation-lattice procedure to estimate financial risk measures for option positions. The framework proposed can be applied to many different kinds of options, including exotic and vanilla options; it can take account of early exercise features; heavy tails in underlying processes; estimate different risk measures, including VaR, Expected Shortfall and Spectral Risk Measures; and in a limited way it can be generalized to accommodate multiple-factors. It avoids many of the limitations of existing approaches and, in particular, avoids the problems associated approaches based on delta–gamma and similar approximations. It also generates some interesting results about the risk measures of some illustrative options positions.     

Financial development and asset valuation: The special case of real estate

This paper studies the impact of financial development on asset valuation. We model the agency theoretic perspective of risk-averse investors and financiers in a general equilibrium setting under the framework of rational expectations (i.e., symmetric information). We focus on real estate, as it constitutes a special case of complete market contracting where adverse selection and moral hazard are easily mitigated. Our results illustrate an increase in pareto-efficiency, as financial architecture advances from: (i) banks to capital markets; and (ii) plain vanilla debt to an innovative one with participation clauses. This is attributed to the reduction in agency costs and cross-sectional risk-sharing, leading to an increase in the value of property. Our results predict that an optimal financial system will orient itself towards efficient financial contracts, irrespective of its source of origination. We also rationalize the co-existence of banks and capital markets, and generalize our results under a set of restrictive conditions.     

Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?

This paper assesses the potential influence of the growing CDS market on the borrowing cost of sovereign states during the European sovereign crisis. We analyze the sovereign debt market to ascertain the pattern of information transmission between the CDS and corresponding bond markets. Our methodological innovation is the use of a non-linear specification rather than the linear VECM specification customarily employed. Using a panel smooth transition model during the 2008–2010 period, we find that: 1) linearity tests clearly reject the null hypothesis of a linear transmission mechanisms between the bond and the CDS markets; 2) market distress alters the mutual influence and 3) the higher the distress the more the CDS market dominates the information transmission between CDS and bond markets.     

Financial markets,financial dependence,and the allocation of capital

We explore one specific channel through which finance promotes growth: the allocation of capital. Using international industrial data, we find that countries with developed financial markets invest more in growing industries, and pull out more funds of declining ones. Most interestingly, this pattern is more eminent for those industries more dependent on external financing. Various robustness checks show that the results are not driven by reverse causality, omitted variables, specific countries or industries.     

Extending the universality of the Heath-Jarrow-Morton model

Heath, Jarrow, and Morton (HJM) developed an important model of the evolution of interest rates. A key assumption of the model is that interest rate changes are normally distributed in continuous time. Implementing the HJM-method of evolution of interest rates in discrete time for more complex volatility functions remains a significant challenge. In this article, we present a relatively simple and flexible method of implementation, that extends the usefulness of the HJM model. The derivation assumes that the distribution of interest rates is stable, but not necessarily identical, for each discrete time period. This allows us to identify the drift-adjustment terms necessary to build interest rate lattices and trees and Monte Carlo simulations that satisfy exactly the no-arbitrage and volatility conditions, even complex ones, of the model. The much more difficult discrete-time implementation methods suggested in the literature (Heath, Jarrow, and Morton (1991) [Heath, D., Jarrow, R. & Morton, A. (1991). Contingent claim valuation with a random evolution of interest rates. Review of Futures Markets, 54-76.] and Jarrow (1996) [Jarrow, R. (1996). Modeling fixed income securities and interest rate options. New York, NY: McGraw-Hill Companies Inc.]) do not accomplish that. We illustrate our analytical implementation with three examples of volatility functions and demonstrate its superiority to other methods of implementation.     

Portfolio optimization in the presence of dependent financial returns with long memory: A copula based approach

In this paper, we seek to examine the effect of the presence of long memory on the dependence structure between financial returns and on portfolio optimization. First, we focus on the dependence structure using copulas. To select the best copula, in addition to the goodness of fit tests, we employ a graphical method based on visual comparison of the fitted copula density and the smoothed copula density estimated by wavelets. Moreover, we check the stability of the copula parameter. The empirical results show that the long memory affects the dependence structure. Second, we analyze the impact of this dependence structure on the optimal portfolio. We propose a new approach based on minimizing the Conditional Value at Risk and assuming that the dependence structure is modeled by the copula parameter. The empirical results show that our approach outperforms the traditional minimizing variance approach, where the dependence structure is represented by the linear correlation coefficient.     

Rewards for downside risk in Asian markets

Distributional properties of emerging market returns may impact on investor ability and willingness to diversify. Investors may also place greater weighting on downside losses, compared to upside gains. Using individual equities in a range of emerging Asian markets, we investigate the potential contribution of downside risk measures to explain asset pricing in these markets. As realized returns are used as a proxy for expected returns, we separately examine conditional returns in upturn and downturn periods, in order to successfully identify risk and return relationships. Results indicate that co-skewness and downside beta are priced by investors. Further testing confirms a separate premium for each measure, confirming that they capture different aspects of downside risk. Robustness tests indicate that, when combined with other risk measures, both retain their explanatory power. Tests also indicate that co-skewness may be the more robust measure.     

Measuring time-varying financial market integration: An unobserved components approach

We measure the time-varying degree of world stock market integration of five developed countries (Germany, France, UK, US, and Japan) over the period 1970:1–2011:10. Time-varying financial market integration of each country is measured through the conditional variances of the country-specific and common international risk premiums in equity excess returns. The country-specific and common risk premiums and their conditional variances are estimated from a latent factor decomposition through the use of state space methods that allow for GARCH errors. Our empirical results suggest that stock market integration has increased over the period 1970:1–2011:10 in all countries but Japan. And while there is a structural increase in stock market integration in four out of five countries, all countries also exhibit several shorter periods of disintegration (reversals), i.e. periods in which country-specific shocks play a more dominant role. Hence, stock market integration is measured as a dynamic process that is fluctuating in the short run while gradually increasing in the long run.