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Money Mathematics: Examining Ethics Education in Quantitative Finance [PDF]
The field of quantitative analysis is often mistaken to be a discipline free from ethical burdens. The quantitative financial analyst or “quant” profession holds a position of significant responsibility as the keeper of mathematical models used in complex derivative security pricing and risk management. Despite this responsibility very few postgraduate
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Waiting times between orders and trades in double-auction markets [PDF]
In this paper, the survival function of waiting times between orders and the corresponding trades in a double-auction market is studied both by means of experiments and of empirical data.
Alessandra Tedeschi +47 more
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WARNING: Physics Envy May Be Hazardous To Your Wealth! [PDF]
The quantitative aspirations of economists and financial analysts have for many years been based on the belief that it should be possible to build models of economic systems - and financial markets in particular - that are as predictive as those in ...
A Blinder +76 more
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In this paper we develop a novel neural network model for predicting implied volatility surface. Prior financial domain knowledge is taken into account.
Chen, Bowei, Yang, Yongxin, Zheng, Yu
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Sharper asset ranking from total drawdown durations [PDF]
The total duration of drawdowns is shown to provide a moment-free, unbiased, efficient and robust estimator of Sharpe ratios both for Gaussian and heavy-tailed price returns. We then use this quantity to infer an analytic expression of the bias of moment-
Challet, Damien
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Klein, Irene, Schachermayer, Walter
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What is the best risk measure in practice? A comparison of standard measures [PDF]
Expected Shortfall (ES) has been widely accepted as a risk measure that is conceptually superior to Value-at-Risk (VaR). At the same time, however, it has been criticised for issues relating to backtesting.
Emmer, Susanne +2 more
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Mathematical modeling in Quantitative Finance and Computational Economics
The first part of my PhD Thesis deals with different Machine Learning techniques mainly applied to solve financial engineering and risk management issues. After a short literary review, every chapter analyzes a particular topic linked to the implementation of these models, showing the most suitable methodologies able to solve it efficiently.
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Efficient option pricing with transaction costs [PDF]
A fast numerical algorithm is developed to price European options with proportional transaction costs using the utility-maximization framework of Davis (1997).
Monoyios, Michael
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The Value of Information for Populations in Varying Environments
The notion of information pervades informal descriptions of biological systems, but formal treatments face the problem of defining a quantitative measure of information rooted in a concept of fitness, which is itself an elusive notion. Here, we present a
A. Rosenblueth +65 more
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