Some Stylized Facts of Returns in the Foreign Exchange and Stock Markets in Peru

Some stylized facts for foreign exchange and stock market returns are explored using statistical methods. Formal statistics for testing presence of autocorrelation, asymmetry, and other deviations from normality are applied to these ?nancial returns. Dynamic correlations and di¤erent kernel estimations and approximations of the empirical distributions are also under scrutiny. Furthermore, dynamic analysis of mean, standard deviation, skewness and kurtosis are also performed to evaluate time-varying properties in return distributions. Main results reveal di¤erent sources and types of non-normality in the return distributions in both markets. Left fat tails, excess kurtosis, return clustering and unconditional time-varying moments show important deviations from normal- ity. Identi?able volatility cycles in both forex and stock markets are associated to common macro ?nancial uncertainty events.Non-Normal Distributions, Stock Market Returns, Foreign Exchage, Market Returns

Some stylized facts of returns in the foreign exchange and stock markets in Peru

Some stylized facts for foreign exchange and stock market returns are explored using statistical methods. Formal statistics for testing presence of autocorrelation, asymmetry, and other deviations from normality is applied to these financial returns. Dynamic correlations and different kernel estimations and approximations of the empirical distributions are also under scrutiny. Furthermore, dynamic analysis of mean, standard deviation, skewness and kurtosis are also performed to evaluate time-varying properties in return distributions. Main results reveal different sources and types of non-normality in the return distributions in both markets. Left fat tails, excess kurtosis, return clustering and unconditional time-varying moments show important deviations from normality. Identifiable volatility cycles in both forex and stock markets are associated to common macro financial uncertainty events.Non-Normal Distributions, Stock Market Returns, Foreign Exchange Market Returns.

Can social microblogging be used to forecast intraday exchange rates?

The Efficient Market Hypothesis (EMH) is widely accepted to hold true under certain assumptions. One of its implications is that the prediction of stock prices at least in the short run cannot outperform the random walk model. Yet, recently many studies stressing the psychological and social dimension of financial behavior have challenged the validity of the EMH. Towards this aim, over the last few years, internet-based communication platforms and search engines have been used to extract early indicators of social and economic trends. Here, we used Twitter's social networking platform to model and forecast the EUR/USD exchange rate in a high-frequency intradaily trading scale. Using time series and trading simulations analysis, we provide some evidence that the information provided in social microblogging platforms such as Twitter can in certain cases enhance the forecasting efficiency regarding the very short (intradaily) forex.Comment: This is a prior version of the paper published at NETNOMICS. The final publication is available at http://www.springer.com/economics/economic+theory/journal/1106

Does a Monetary Union protect again shocks? An assessment of Latin American integration

This paper analyses the monetary consequences of the Latin-American trade integration process. We consider a sample of five countries -Argentina, Brazil, Chile, Mexico and Uruguay- spanning the period 1991-2007. The main question raised pertains to the feasibility of a monetary union between L.A. economies. To this end, we study whether this set of countries is characterized by business cycle synchronization with the occurrence of common shocks, a strong similarity in the adjustment process and the convergence of policy responses. We focus especially our attention on two points. First, we tryto determine to what extent international disturbances influence the domestic business cycles through trade and/or financial channels. Second, we analyze the impact of the adoption of different exchange rate regimes on the countries' responses to shocks. All these features are the main issues in the literature relative to regional integration and OCA process.bayesian VAR ; business cycles ; Latin American countries ; optimum currency area

Does a Monetary Union protect again foreign shocks? An assessment of Latin American integration using a Bayesian VAR

This paper analyses the monetary consequences of the Latin-American trade integration process. We consider a sample of five countries –Argentina, Brazil, Chile, Mexico and Uruguay- spanning the period 1991-2007. The main question raised pertains to the feasibility of a monetary union between L.A. economies. To this end, we study whether this set of countries is characterized by business cycle synchronization with the occurrence of common shocks, a strong similarity in the adjustment process and the convergence of policy responses. We focus especially our attention on two points. First, we try to determine to what extent international disturbances influence the domestic business cycles through trade and/or financial channels. Second, we analyze the impact of the adoption of different exchange rate regimes on the countries' responses to shocks. All these features are the main issues in the literature relative to regional integration and OCA process.bayesian VAR ; business cycles ; Latin American countries ; optimum currency area

Financial ``Anti-Bubbles'': Log-Periodicity in Gold and Nikkei collapses

We propose that imitation between traders and their herding behaviour not only lead to speculative bubbles with accelerating over-valuations of financial markets possibly followed by crashes, but also to ``anti-bubbles'' with decelerating market devaluations following all-time highs. For this, we propose a simple market dynamics model in which the demand decreases slowly with barriers that progressively quench in, leading to a power law decay of the market price decorated by decelerating log-periodic oscillations. We document this behaviour on the Japanese Nikkei stock index from 1990 to present and on the Gold future prices after 1980, both after their all-time highs. We perform simultaneously a parametric and non-parametric analysis that are fully consistent with each other. We extend the parametric approach to the next order of perturbation, comparing the log-periodic fits with one, two and three log-frequencies, the latter one providing a prediction for the general trend in the coming years. The non-parametric power spectrum analysis shows the existence of log-periodicity with high statistical significance, with a prefered scale ratio of $\lambda \approx 3.5$ for the Nikkei index $\lambda \approx 1.9$ for the Gold future prices, comparable to the values obtained for speculative bubbles leading to crashes.Comment: 14 pages with 4 figure

ANALYSIS MODEL ON THE RELATION BETWEEN MACROECONOMICAL VARIABLE TENDENCIES AND COMERCIAL BANK’S CREDIT RISK

The main goal of this study is to apply a macroeconomic credit risk model which links a set of macroeconomic factors and industry-specific corporate sector default rates using Romanian data over the time period from 2002:2 to 2008:2. Using the modeled andcredit risk, industry-specific default rate, credit portfolio loss distribution