Risk and efficiency in the Central and Eastern European banking industry under quantile analysis

This paper estimates cost efficiency in the banking industry of 11 Central and Eastern European (CEE) countries over the period 1998–2005 using a quantile regression analysis. Our purpose is to investigate for the first time whether cost efficiency in CEE banks differs across quantiles of the conditional distribution. We employ stochastic frontier analysis across quantiles using the Distribution-Free Approach. The reported evidence demonstrates lower efficiency scores for higher conditional distributions. The paper goes further into a second-stage analysis to investigate how risk, measured by non-performing loans and loans loss provisions, affects bank efficiency across quantiles. This second-stage analysis finds that risk asserts a negative impact on cost efficiency, especially in high-order quantiles. Finally, the paper investigates the relationship between bank-specific ‘z’ variables, such as structural reforms, bank concentration and profitability, and cost efficiency across quantiles.     

Financial literacy and portfolio diversification

We use a survey of individual investors disclosed by the Portuguese Securities Commission (CMVM) in May 2005 to study the impact of investors’ levels of financial literacy on portfolio diversification. We consider distinct aspects of financial literacy, and control for socioeconomic and behavioral differences among individual groups of investors. Our results suggest that investors’ educational levels and their financial knowledge have a positive impact on investor diversification. The information sources used by retail investors to gather information on markets and financial products also have a significant impact on the number of different assets included in a portfolio.     

A jump-diffusion model for the euro overnight rate

In this work we introduce a jump-diffusion process for the euro overnight rate (the European over night index average) that is able to capture the main characteristics of this rate: (i) dynamics constrained to remain in the corridor of official rates fixed by the European Central Bank; (ii) mean reversion towards the official rate on main refinancing operations; and (iii) highly discontinuous pattern (with jumps), also without variations in the official rate. After calibrating the model parameters on historical data, we implement the model to price an overnight indexed swap. Finally, a comparison between our model and the most common short-term interest rate models is presented.     

Nonlinear interdependence of the Chinese stock markets

The methodologies and assumptions in financial integration studies are problematic and may lead to spurious empirical results. Using surrogate data analysis and the mutual prediction method of testing for nonlinear interdependence, it is feasible for an analyst, with a scant knowledge of the underlying dynamics of two dynamical systems, to show whether or not the systems are interdependent. This study applies these techniques in testing for nonlinear interdependence of three Chinese stock markets: Shanghai, Shenzhen, and Hong Kong. The empirical results of the present study indicate that the stock market series are nonlinear and that the Chinese stock exchanges are nonlinearly interdependent. Specifically, the evidence indicates that Shanghai and Shenzhen markets are bi-directionally interdependent, while Shanghai and Hong Kong as well as Shenzhen and Hong Kong markets are unidirectionally interdependent, with the direction of interdependence going from the mainland's markets to the Hong Kong market.     

Modelling bonds and credit default swaps using a structural model with contagion

This paper develops a two-dimensional structural framework for valuing credit default swaps and corporate bonds in the presence of default contagion. Modelling the values of related firms as correlated geometric Brownian motions with exponential default barriers, analytical formulae are obtained for both credit default swap spreads and corporate bond yields. The credit dependence structure is influenced by both a longer-term correlation structure as well as by the possibility of default contagion. In this way, the model is able to generate a diverse range of shapes for the term structure of credit spreads using realistic values for input parameters.     

Estimating a regime switching pairs trading model

We consider a discrete time pairs trading model which includes regime changes in the dynamics. The prices of the pair of assets, and so their difference or spread, depend on the state of the market, which in turn is modelled by a finite state Markov chain. Different states of the chain give rise to different parameters in the dynamics of the spread. However, the state of the chain is not observed directly but only through the prices or spread. Based on observations of the spread, this paper provides recursive estimates for both the state of the market and all coefficients in the model.     

Numerical solutions to an integro-differential parabolic problem arising in the pricing of financial options in a Levy market

We study the numerical solutions for an integro-differential parabolic problem modeling a process with jumps and stochastic volatility in financial mathematics. We present two general algorithms to calculate numerical solutions. The algorithms are implemented in PDE2D, a general-purpose, partial differential equation solver.     

The macroeconomic content of international equity market factors

Although existing research has examined the association between macroeconomic data and particular equity markets, little is known regarding the economic content of the latent factors common to international equity markets. This paper considers the macroeconomic information incorporated in unobserved common equity market factors, as well as the possibility that the macroeconomic sensitivities of the factors differ across alternative levels of volatility. Several models are estimated for 15 developed equity markets to examine the economic composition of the common factors, thereby providing an alternative perspective on the economic fundamentals underlying equity markets. A formal Bayesian selection process suggests that a common structure incorporating global and European factors is preferred to the baseline case of a single global factor or the extended scenario of dual global factors. The common factors are associated with a small set of macroeconomic variables.     

Teaching financial literacy in a co-curricular service-learning model

The current economic environment has brought to light the financial literacy epidemic in this country. A lack of personal financial education has contributed to the increase in consumer credit debt, a trend evident for many college students who often have significant credit card debt. One way to combat this problem is through financial literacy education. This paper describes a service-learning project implemented through a Beta Alpha Psi chapter, which fulfills the educational objectives of the accounting curriculum and addresses an educational need. The project provides reciprocity of learning between members of Beta Alpha Psi and their audience, college underclassmen. The results indicate that the project is successful in educating both presenters and audience members on basic financial knowledge as well as developing technical and communication skills of Beta Alpha Psi members. The project outline presented in this paper provides a framework for others to use.     

Pricing a class of exotic commodity options in a multi-factor jump-diffusion model

In a recent paper, Crosby introduced a multi-factor jump-diffusion model which would allow futures (or forward) commodity prices to be modelled in a way which captured empirically observed features of the commodity and commodity options markets. However, the model focused on modelling a single individual underlying commodity. In this paper, we investigate an extension of this model which would allow the prices of multiple commodities to be modelled simultaneously in a simple but realistic fashion. We then price a class of simple exotic options whose payoff depends on the difference (or ratio) between the prices of two different commodities (for example, spread options), or between the prices of two different (i.e. with different tenors) futures contracts on the same underlying commodity, or between the prices of a single futures contract as observed at two different calendar times (for example, forward start or cliquet options). We show that it is possible, using a Fourier transform-based algorithm, to derive a single unifying form for the prices of all these aforementioned exotic options and some of their generalizations. Although we focus on pricing options within the model of Crosby, most of our results would be applicable to other models where the relevant ‘extended’ characteristic function is available in analytical form.     

Options on realized variance by transform methods: a non-affine stochastic volatility model

In this paper we study the pricing and hedging of options on realized variance in the 3/2 non-affine stochastic volatility model by developing efficient transform-based pricing methods. This non-affine model gives prices of options on realized variance that allow upward-sloping implied volatility of variance smiles. Heston's model [Rev. Financial Stud., 1993, 6, 327–343], the benchmark affine stochastic volatility model, leads to downward-sloping volatility of variance smiles—in disagreement with variance markets in practice. Using control variates, we propose a robust method to express the Laplace transform of the variance call function in terms of the Laplace transform of the realized variance. The proposed method works in any model where the Laplace transform of realized variance is available in closed form. Additionally, we apply a new numerical Laplace inversion algorithm that gives fast and accurate prices for options on realized variance, simultaneously at a sequence of variance strikes. The method is also used to derive hedge ratios for options on variance with respect to variance swaps.     

Analysing liquidity and absorption limits of electronic markets with volume durations

This paper focuses on the liquidity of electronic stock markets applying a sequential estimation approach of models for volume duration with increasing threshold values. A modified ACD model with a Box–Tukey transformation and a flexible generalized beta distribution is proposed to capture the changing cluster structure of duration processes. The estimation results with German XETRA data reveal the market's absorption limit for high volumes of shares, expanding the time costs of illiquidity when trading these quantities.     

Trust in,trust out: a real cost of sudden and significant financial loss

This study examines the loss of trust that occurs when individuals suffer from sudden and significant financial loss. We use a qualitative case study to show that individuals lose trust in a range of parties, including financial advisors, banks, credit providers, government and perhaps most damagingly of all, oneself. Such outcomes are concerning as all financial services are based on trust between various parties, and trust is important in making financial decisions. A lack of trust can lead to poorer individual and societal outcomes. It also suggests that trends to financial self‐sufficiency have risks, which impact well beyond monetary losses.     

Unveiling investor-induced channels of financial contagion in the 2008 financial crisis using copulas

Understanding how financial crises spread is important for policy-makers and regulators in order to take adequate measures to prevent or contain the spread of these crises. This paper will test whether there was contagion of the subprime financial crisis to the European stock markets of the NYSE Euronext group (Belgium, France, the Netherlands and Portugal) and, if evidence of contagion is found, it will determine the investor-induced channels through which the crisis propagated. We will use copula models for this purpose. After assessing whether there is evidence of financial contagion in the stock markets, we will examine whether the ‘wealth constraints’ transmission mechanism prevails over the ‘portfolio rebalancing’ channel. An additional test looks at the interaction between stock and bond markets during the crisis and allows us to determine if the transmission occurred due to the ‘cross market rebalancing’ channel or the ‘flying to quality’ phenomenon. The tests suggest that (i) financial contagion is present in all analyzed stock markets, (ii) a ‘portfolio rebalancing’ channel is the most important crisis transmission mechanism, (iii) and the ‘flight-to-quality’ phenomenon is also present in all analyzed stock markets.     

Determinants of Saving-Borrowing Decisions and Financial Inclusion in a High Middle Income Country: The Turkish Case

We use a representative survey of the Turkish household sector and investigate factors impinging on saving-borrowing behavior. We run four probit regressions to elucidate (i) the saving decision, (ii) asset choice or portfolio composition for those who save, (iii) the bank loan decision and lastly (iv) the formal versus informal borrowing decision. We find income, education, marital status and region within country strongly correlate with those decisions. We offer some insights regarding the influence of variables like rural to urban migrant status and religious belief on saving and borrowing decisions. We discuss the long-term implications of our findings on the Turkish household savings performance.     

Voluntary Disclosure of Information in a Setting in which Endowment of Information has Productive Value

Abstract:  This paper introduces a model capturing managers' disclosure policies in settings in which disclosure is rewarded by the financial market because disclosure implies that managers are endowed with information and endowment of information may potentially improve the firm's productive efficiency. It provides sufficient condition for a threshold disclosure equilibrium to obtain and compares disclosure policies in a setting in which endowment of information improves the firm's productive efficiency with disclosure policies in a setting in which endowment of information has no impact on the firm's productive efficiency. Managers' disclosure policies are shown to depend crucially on whether the endowment of information is exogenous or endogenous. When the endowment of information is exogenous, an increase in the usefulness of information in improving the firm's productive efficiency leads to a decrease in the disclosure threshold and hence an increase in the amount of information disclosed. In contrast, when the endowment of information is endogenous, an increase in the usefulness of information in improving the firm's productive efficiency has no effect on the disclosure threshold but leads to a decrease in the probability with which information is acquired and hence a decrease in the amount of information disclosed. As, in the threshold disclosure equilibrium, the net present value of information acquisition arising from any increase in production efficiency is negative, an increase in the usefulness of information in improving the firm's productive efficiency thus reduces the inefficiency caused by information acquisition.     

Mispricing and risk of R&D investment in European firms

We study whether R&D-intensive firms earn superior stock returns compared to matched size and book-to-market portfolios across several financial markets in Europe. Mispricing can arise if investors are not able to correctly estimate the long-term benefits of R&D investment or whether R&D firms are more risky than others. The results confirm that more innovative firms can earn future excess returns. Stocks listed on continental Europe markets and operating in high-tech sectors are more prone to undervaluation. This can be caused in the first case by information asymmetries that are more severe in bank-based countries. No evidence is found for a different risk pattern of R&D-intensive stocks.     

A model of returns for the post-credit-crunch reality: hybrid Brownian motion with price feedback

Recent market events have reinvigorated the search for realistic return models that capture greater likelihoods of extreme movements. In this paper we model the medium-term log-return dynamics in a market with both fundamental and technical traders. This is based on a trade arrival model with variable size orders and a general arrival-time distribution. With simplifications we are led in the jump-free case to a local volatility model defined by a hybrid SDE mixing both arithmetic and geometric or CIR Brownian motions, whose solution in the geometric case is given by a class of integrals of exponentials of one Brownian motion against another, in forms considered by Yor and collaborators. The reduction of the hybrid SDE to a single Brownian motion leads to an SDE of the form considered by Nagahara, which is a type of ‘Pearson diffusion’, or, equivalently, a hyperbolic OU SDE. Various dynamics and equilibria are possible depending on the balance of trades. Under mean-reverting circumstances we arrive naturally at an equilibrium fat-tailed return distribution with a Student or Pearson Type~IV form. Under less-restrictive assumptions, richer dynamics are possible, including time-dependent Johnson-SU distributions and bimodal structures. The phenomenon of variance explosion is identified that gives rise to much larger price movements that might have a priori been expected, so that ‘25σ’ events are significantly more probable. We exhibit simple example solutions of the Fokker–Planck equation that shows how such variance explosion can hide beneath a standard Gaussian facade. These are elementary members of an extended class of distributions with a rich and varied structure, capable of describing a wide range of market behaviors. Several approaches to the density function are possible, and an example of the computation of a hyperbolic VaR is given. The model also suggests generalizations of the Bougerol identity. We touch briefly on the extent to which such a model is consistent with the dynamics of a ‘flash-crash’ event, and briefly explore the statistical evidence for our model.     

Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro-fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.     

Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis

We review theory and evidence relating to herd behaviour, payoff and reputational interactions, social learning, and informational cascades in capital markets. We offer a simple taxonomy of effects, and evaluate how alternative theories may help explain evidence on the behaviour of investors, firms, and analysts. We consider both incentives for parties to engage in herding or cascading, and the incentives for parties to protect against or take advantage of herding or cascading by others.