Roberto Baviera
Polytechnic University of Milan
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Publication
Featured researches published by Roberto Baviera.
International Journal of Theoretical and Applied Finance | 2000
Erik Aurell; Roberto Baviera; Ola Hammarlid; Maurizio Serva; Angelo Vulpiani
We introduce and discuss a general criterion for the derivative pricing in the general situation of incomplete markets, we refer to it as the No Almost Sure Arbitrage Principle. This approach is based on the theory of optimal strategy in repeated multiplicative games originally introduced by Kelly. As particular cases we obtain the Cox–Ross–Rubinstein and Black–Scholes in the complete markets case and the Schweizer and Bouchaud–Sornette as a quadratic approximation of our prescription. Technical and numerical aspects for the practical option pricing, as large deviation theory approximation and Monte Carlo computation are discussed in detail.
arXiv: Disordered Systems and Neural Networks | 1999
Roberto Baviera; Michele Pasquini; Maurizio Serva; Davide Vergni; Angelo Vulpiani
A quantitative check of weak efficiency in US dollar/German mark exchange rates is developed using high frequency data. We show the existence of long term return anomalies. We introduce a technique to measure the available information and show it can be profitable following a particular trading rule.
Physica A-statistical Mechanics and Its Applications | 2000
Roberto Baviera; Davide Vergni; Angelo Vulpiani
In this paper, using the exit-time statistic, we study the structure of the price variations for the high-frequency data set of the bid–ask Deutschemark/US dollar exchange rate quotes registered by the inter-bank Reuters network over the period October 1, 1992 to September 30, 1993. Having rejected random-walk models for the returns, we propose a Markovian model which reproduce the available information of the financial series. Besides the usual correlation analysis we have verified the validity of this model by means of other tools all inspired by information theory. These techniques are not only severe tests of the approximation but also evidence of some aspects of the data series which have a clear financial relevance.
Physica A-statistical Mechanics and Its Applications | 2001
Roberto Baviera; Michele Pasquini; Maurizio Serva; Davide Vergni; Angelo Vulpiani
In this paper we perform a quantitative check of long term correlations and multi-affinity in Deutsche Mark/US Dollar exchange rates using high frequency data. We show that the use of business time, i.e., the ranking of the quotes in the sequences, eliminates most of the seasonality in financial-time series, allowing a precise estimation of some return anomalies.
Physica A-statistical Mechanics and Its Applications | 2000
Erik Aurell; Roberto Baviera; Ola Hammarlid; Maurizio Serva; Angelo Vulpiani
We introduce a criterion how to price derivatives in incomplete markets, based on the theory of growth optimal strategy in repeated multiplicative games. We present reasons why these growth-optimal strategies should be particularly relevant to the problem of pricing derivatives. Under the assumptions of no trading costs, and no restrictions on lending, we find an appropriate equivalent martingale measure that prices the underlying and the derivative security. We compare our result with other alternative pricing procedures in the literature, and discuss the limits of validity of the lognormal approximation. We also generalize the pricing method to a market with correlated stocks. The expected estimation error of the optimal investment fraction is derived in a closed form, and its validity is checked with a small-scale empirical test.
Physica A-statistical Mechanics and Its Applications | 2002
Roberto Baviera; Michele Pasquini; Maurizio Serva; Davide Vergni; Angelo Vulpiani
A quantitative check of efficiency in US dollar/Deutsche mark exchange rates is developed using high-frequency (tick by tick) data. The antipersistent Markov behavior of log-price fluctuations of given size implies, in principle, the possibility of a statistical forecast. We introduce and measure the available information of the quote sequence, and we show how it can be profitable following a particular trading rule.
Journal of Physics A | 1998
Roberto Baviera; Michele Pasquini; Maurizio Serva
We introduce a hierarchical class of approximations of the random Ising spin glass in
Applied Mathematical Finance | 2015
Roberto Baviera; Alessandro Cassaro
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The SSM at 1 | 2014
Emilio Barucci; Roberto Baviera; Carlo Milani
dimensions. The attention is focused on finite clusters of spins where the action of the rest of the system is properly taken into account. At the lower level (cluster of a single spin) our approximation coincides with the SK model while at the highest level it coincides with the true
Quantitative Finance | 2003
Roberto Baviera
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