Financial integration, capital misallocation and global imbalances

This paper shows that in a stylized model with two countries, characterized by different levels of financial development, the following facts can be replicated: 1) persistent current account surpluses and 2) high TFP growth in China. Under autarky, entrepreneurs in the emerging country overinvest in short-term projects and underinvest in long-term projects because short-term assets help them secure long-term investments in the presence of credit constraints. This creates an aggregate misallocation of capital. When financial markets integrate, entrepreneurs with long-term projects can have access to cheaper short-term assets abroad, which leaves them more resources to invest in their projects. This both reduces capital misallocations and generates capital outflows.

Corporate Social and Regional Responsibility - The View of Small and Medium-sized Enterprises

The objective of this research was to understand and describe what corpo-rate social and regional responsibility is in SMEs and define the meaning of these concepts to the community and region. Corporate social respon-sibility (CSR) creates a basis for regional responsibility. Regional respon-sibility is a new concept and this research examines it from SMEs’ view-point. This is a theoretical research and the aim is to create a theoretical framework of SMEs’ corporate social and regional responsibility. This framework supports the future research on the subject. The research results show that CSR of SMEs is practical, informal and dependent on the scarce resources of SMEs. CSR is a complex and deep concept and SMEs have their own way of interpreting it. It can be stated that CSR-practises in SMEs are closely connected to employment, envi-ronment, community and supply chain. The challenge is to find motivation to socially and regionally responsible behaviour in SMEs. Benefiting from responsible behaviour and the attitude of SME’s owner-manager are the key reasons for SMEs to involve in CSR and regional responsibility. The benefits of this involvement are for example improved image, reputation and market position. CSR can also be used in SMEs as risk management tool and in cost reduction. This study indicates also that creation of strate-gic partnerships, local government participation, a proper legal system and financial support are the basic issues which support CSR of SMEs. This research showed that regional responsibility of SMEs includes active participation in regional strategy processes, L&RED initiatives and regional philanthropy. For SMEs regional responsibility means good relationships with the community and other related stakeholders, involvement in L&RED initiatives and acting responsibly towards the operating environment. In SMEs’ case this means that they need to understand the benefits of this kind of involvement in order to take action and participate. As regional responsibility includes the relationships between firm and the community, it can be stated that regional responsibility extends CSR’s view of stakeholders and emphasises both, the regional stakeholders and public-private partnerships. Community engagement and responsible be-haviour towards community can be seen as a part of SMEs’ social and regional responsibility. This study indicates that social and regional re-sponsibility of SMEs have a significant influence on the community and region where they are located. Better local and regional relationships with regional and community actors are the positive impacts of social and re-gional responsibility of SMEs. Socially and regionally responsible behav-iour creates a more positive environment and deepens the involvement of SMEs to community and L&RED initiatives.

Managing the crises : how did local governments react to the financial crisis in 2008 and what explains the differences ? The case of Swiss municipalities

Swiss municipalities are, to a large extent, responsible for their financial resources. Since these resources primarily depend on income and property taxes from individuals and enterprises, municipality budgets are likely to be directly affected by the current crisis in the financial sector and the economy. This article investigates how municipalities perceived this threat and how they reacted to it. In a nationwide survey conducted at the end of 2009 in all 2596 Swiss municipalities, we asked local secretaries which measures had been launched in order to cope with expected losses in tax income and a possible increase in welfare spending. Did the municipalities rely on Keynesian measures increasing public spending and accepting greater deficits, or did they try to avoid further deficits by using austerity measures and a withdrawal of planned investments? Our results show that only a few municipalities - mainly the bigger ones - expected to be greatly affected by the crisis. Their reactions, however, did not reveal any clear patterns that theory would lead one to expect. Preferences for austerity measures and deficit spending become visible but many municipalities took measures from both theories. The strongest explanatory factors for determining how/why municipalities react are: the municipality's level of affectedness followed by whether or not the municipality belongs to the French-speaking part of the country. Size also has an impact, whereas the strength of the Social Democrat party is negligible. Explaining what kind of measures municipalities are likely to take is more difficult. However, the more a municipality is affected, the more likely it is to stick to austerity measures.

Liquidity, institutional ownership and regulation fair disclosure

There is a body of academic literature addressing two issues of importance for leveling the playing field for all classes of investors: 1) the impact of institutional investors on liquidity; and 2) the impact of Regulation Fair Disclosure on institutional investors and liquidity. Our study addresses both issues with the purpose of attaining a better understanding and explanation of this relationship. We classify institutional ownership according to Bushee's (1998, 2001) methodology; transient institutions, dedicated institutions and quasi-indexers. Our results indicate that while transient institutions and quasi-indexers have a positive impact on liquidity, dedicated institutional ownership is negatively associated with liquidity. This result is consistent with prior theoretical studies. We also find that the effectiveness ofthe Regulation Fair Disclosure in improving liquidity is limited to firms with higher transient institutional ownership, whereas quasi-indexed institutions have not been significantly affected by the regulations. In fact, the liquidity of firms is lower for firms with higher dedicated institutional holdings, which is evidence of the "chilling effect".

Latent Variable Models for Stochastic Discount Factors.

Latent variable models in finance originate both from asset pricing theory and time series analysis. These two strands of literature appeal to two different concepts of latent structures, which are both useful to reduce the dimension of a statistical model specified for a multivariate time series of asset prices. In the CAPM or APT beta pricing models, the dimension reduction is cross-sectional in nature, while in time-series state-space models, dimension is reduced longitudinally by assuming conditional independence between consecutive returns, given a small number of state variables. In this paper, we use the concept of Stochastic Discount Factor (SDF) or pricing kernel as a unifying principle to integrate these two concepts of latent variables. Beta pricing relations amount to characterize the factors as a basis of a vectorial space for the SDF. The coefficients of the SDF with respect to the factors are specified as deterministic functions of some state variables which summarize their dynamics. In beta pricing models, it is often said that only the factorial risk is compensated since the remaining idiosyncratic risk is diversifiable. Implicitly, this argument can be interpreted as a conditional cross-sectional factor structure, that is, a conditional independence between contemporaneous returns of a large number of assets, given a small number of factors, like in standard Factor Analysis. We provide this unifying analysis in the context of conditional equilibrium beta pricing as well as asset pricing with stochastic volatility, stochastic interest rates and other state variables. We address the general issue of econometric specifications of dynamic asset pricing models, which cover the modern literature on conditionally heteroskedastic factor models as well as equilibrium-based asset pricing models with an intertemporal specification of preferences and market fundamentals. We interpret various instantaneous causality relationships between state variables and market fundamentals as leverage effects and discuss their central role relative to the validity of standard CAPM-like stock pricing and preference-free option pricing.

Asymmetric Smiles, Leverage Effects and Structural Parameters.

In this paper, we characterize the asymmetries of the smile through multiple leverage effects in a stochastic dynamic asset pricing framework. The dependence between price movements and future volatility is introduced through a set of latent state variables. These latent variables can capture not only the volatility risk and the interest rate risk which potentially affect option prices, but also any kind of correlation risk and jump risk. The standard financial leverage effect is produced by a cross-correlation effect between the state variables which enter into the stochastic volatility process of the stock price and the stock price process itself. However, we provide a more general framework where asymmetric implied volatility curves result from any source of instantaneous correlation between the state variables and either the return on the stock or the stochastic discount factor. In order to draw the shapes of the implied volatility curves generated by a model with latent variables, we specify an equilibrium-based stochastic discount factor with time non-separable preferences. When we calibrate this model to empirically reasonable values of the parameters, we are able to reproduce the various types of implied volatility curves inferred from option market data.

Finance and Growth : Empirical Evidence from Developing Countries, 1960-1990

This paper examines the empirical relationship between financial intermediation and economic growth using cross-country and panel data regressions for 69 developing countries for the 1960-1990 period. The main results are : (i) financial development is a significant determinant of economic growth, as it has been shown in cross-sectional regressions; (ii) financial markets cease to exert any effect on real activity when the temporal dimension is introduced in the regressions. The paradox may be explained, in the case of developing countries, by the lack of an entrepreneurial private sector capable to transform the available funds into profitable projects; (iii) the effect of financial development on economic growth is channeled mainly through an increase in investment efficiency.

Risk Aversion, Intertemporal Substitution, and Option Pricing

This paper develops a general stochastic framework and an equilibrium asset pricing model that make clear how attitudes towards intertemporal substitution and risk matter for option pricing. In particular, we show under which statistical conditions option pricing formulas are not preference-free, in other words, when preferences are not hidden in the stock and bond prices as they are in the standard Black and Scholes (BS) or Hull and White (HW) pricing formulas. The dependence of option prices on preference parameters comes from several instantaneous causality effects such as the so-called leverage effect. We also emphasize that the most standard asset pricing models (CAPM for the stock and BS or HW preference-free option pricing) are valid under the same stochastic setting (typically the absence of leverage effect), regardless of preference parameter values. Even though we propose a general non-preference-free option pricing formula, we always keep in mind that the BS formula is dominant both as a theoretical reference model and as a tool for practitioners. Another contribution of the paper is to characterize why the BS formula is such a benchmark. We show that, as soon as we are ready to accept a basic property of option prices, namely their homogeneity of degree one with respect to the pair formed by the underlying stock price and the strike price, the necessary statistical hypotheses for homogeneity provide BS-shaped option prices in equilibrium. This BS-shaped option-pricing formula allows us to derive interesting characterizations of the volatility smile, that is, the pattern of BS implicit volatilities as a function of the option moneyness. First, the asymmetry of the smile is shown to be equivalent to a particular form of asymmetry of the equivalent martingale measure. Second, this asymmetry appears precisely when there is either a premium on an instantaneous interest rate risk or on a generalized leverage effect or both, in other words, whenever the option pricing formula is not preference-free. Therefore, the main conclusion of our analysis for practitioners should be that an asymmetric smile is indicative of the relevance of preference parameters to price options.

Jumps in the Volatility of Financial Markets.

Recent work suggests that the conditional variance of financial returns may exhibit sudden jumps. This paper extends a non-parametric procedure to detect discontinuities in otherwise continuous functions of a random variable developed by Delgado and Hidalgo (1996) to higher conditional moments, in particular the conditional variance. Simulation results show that the procedure provides reasonable estimates of the number and location of jumps. This procedure detects several jumps in the conditional variance of daily returns on the S&P 500 index.

Environmental Risks : Should Banks Be Liable?

This paper studies the impact of banks' liability for environmental damages caused by their borrowers. Laws or court decisions that declare banks liable for environmental damages have two objectives : (1) finding someone to pay for the damages and (2) exerting a pressure on a firm's stakeholders to incite them to invest in environmental risk prevention. We study the effect that such legal decisions can have on financing relationships and especially on the incentives to reduce environmental risk in an environment where banks cannot commit to refinance the firm in all circumstances. Following an environmental accident, liable banks more readily agree to refinance the firm. We then show that bank liability effectively makes refinancing more attractive to banks, therefore improving the firm's risk-sharing possibilities. Consequently, the firm's incentives to invest in environmental risk reduction are weakened compared to the (bank) no-liability case. We also show that, when banks are liable, the firm invests at the full-commitment optimal level of risk reduction investment. If there are some externalities such that some damages cannot be accounted for, the socially efficient level of investment is greater than the privately optimal one. in that case, making banks non-liable can be socially desirable.

Testing Mean-Variance Efficiency in CAPM with Possibly Non-Gaussian Errors : An Exact Simulation-Based Approach

In this paper we propose exact likelihood-based mean-variance efficiency tests of the market portfolio in the context of Capital Asset Pricing Model (CAPM), allowing for a wide class of error distributions which include normality as a special case. These tests are developed in the frame-work of multivariate linear regressions (MLR). It is well known however that despite their simple statistical structure, standard asymptotically justified MLR-based tests are unreliable. In financial econometrics, exact tests have been proposed for a few specific hypotheses [Jobson and Korkie (Journal of Financial Economics, 1982), MacKinlay (Journal of Financial Economics, 1987), Gib-bons, Ross and Shanken (Econometrica, 1989), Zhou (Journal of Finance 1993)], most of which depend on normality. For the gaussian model, our tests correspond to Gibbons, Ross and Shanken’s mean-variance efficiency tests. In non-gaussian contexts, we reconsider mean-variance efficiency tests allowing for multivariate Student-t and gaussian mixture errors. Our framework allows to cast more evidence on whether the normality assumption is too restrictive when testing the CAPM. We also propose exact multivariate diagnostic checks (including tests for multivariate GARCH and mul-tivariate generalization of the well known variance ratio tests) and goodness of fit tests as well as a set estimate for the intervening nuisance parameters. Our results [over five-year subperiods] show the following: (i) multivariate normality is rejected in most subperiods, (ii) residual checks reveal no significant departures from the multivariate i.i.d. assumption, and (iii) mean-variance efficiency tests of the market portfolio is not rejected as frequently once it is allowed for the possibility of non-normal errors.

Exact Skewness-Kurtosis Tests for Multivariate Normality and Goodness-of-fit in Multivariate Regressions with Application to Asset Pricing Models

We study the problem of testing the error distribution in a multivariate linear regression (MLR) model. The tests are functions of appropriately standardized multivariate least squares residuals whose distribution is invariant to the unknown cross-equation error covariance matrix. Empirical multivariate skewness and kurtosis criteria are then compared to simulation-based estimate of their expected value under the hypothesized distribution. Special cases considered include testing multivariate normal, Student t; normal mixtures and stable error models. In the Gaussian case, finite-sample versions of the standard multivariate skewness and kurtosis tests are derived. To do this, we exploit simple, double and multi-stage Monte Carlo test methods. For non-Gaussian distribution families involving nuisance parameters, confidence sets are derived for the the nuisance parameters and the error distribution. The procedures considered are evaluated in a small simulation experi-ment. Finally, the tests are applied to an asset pricing model with observable risk-free rates, using monthly returns on New York Stock Exchange (NYSE) portfolios over five-year subperiods from 1926-1995.

Environmental Risk: Should Banks Be Liable?

This paper studies the impact of banks' liability for environmental damages caused by their borrowers. Laws or court decisions that declare banks liable for environmental damages have two objectives : (1) finding someone to pay for the damages and (2) exerting a pressure on a firm's stakeholders to incite them to invest in environmental risk prevention. We study the effect that such legal decisions can have on financing relationships and especially on the incentives to reduce environmental risk in an environment where banks cannot commit to refinance the firm in all circumstances. Following an environmental accident, liable banks more readily agree to refinance the firm. We then show that bank liability effectively makes refinancing more attractive to banks, therefore improving the firm's risk-sharing possibilities. Consequently, the firm's incentives to invest in environmental risk reduction are weakened compared to the (bank) no-liability case. We also show that, when banks are liable, the firm invests at the full-commitment optimal level of risk reduction investment. If there are some externalities such that some damages cannot be accounted for, the socially efficient level of investment is greater than the privately optimal one. in that case, making banks non-liable can be socially desirable.

Stochastic Volatility.

This paper prepared for the Handbook of Statistics (Vol.14: Statistical Methods in Finance), surveys the subject of stochastic volatility. the following subjects are covered: volatility in financial markets (instantaneous volatility of asset returns, implied volatilities in option prices and related stylized facts), statistical modelling in discrete and continuous time and, finally, statistical inference (methods of moments, quasi-maximum likelihood, likelihood-based and bayesian methods and indirect inference).

Maxims of Action in a Financial Co-operative: Epistemological and Theoretical Issues

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