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Results for “quotation” · papers 15 · wiki 1
Academic Papers · 15arXiv q-fin live 13 · desk corpus 5
arXiv · arXiv q-fin · 2010

Quotation for the Value Added Assessment during Product Development and Production Processes

This communication is based on an original approach linking economical factors to technical and methodological ones. This work is applied to the decision process for mix production. This approach is relevant for costing driving systems. The main interesting point is that the quotation factors (linked to time indicators for each step of the industrial process) allow the complete evaluation and control of, on the one h

Alain Bernard, Nicolas Perry, Jean-Charles Delplace, Serge Gabriel
arXiv · arXiv q-fin · 2023

CAD: Clustering And Deep Reinforcement Learning Based Multi-Period Portfolio Management Strategy

In this paper, we present a novel trading strategy that integrates reinforcement learning methods with clustering techniques for portfolio management in multi-period trading. Specifically, we leverage the clustering method to categorize stocks into various clusters based on their financial indices. Subsequently, we utilize the algorithm Asynchronous Advantage Actor-Critic to determine the trading actions for stocks w

Zhengyong Jiang, Jeyan Thiayagalingam, Jionglong Su, Jinjun Liang
arXiv · arXiv q-fin · 2007

Are all highly liquid securities within the same class?

In this manuscript we analyse the leading statistical properties of fluctuations of (log) 3-month US Treasury bill quotation in the secondary market, namely: probability density function, autocorrelation, absolute values autocorrelation, and absolute values persistency. We verify that this financial instrument, in spite of its high liquidity, shows very peculiar properties. Particularly, we verify that log-fluctuatio

Silvio M. Duarte Queiros
arXiv · arXiv q-fin · 2025

Learning the Exact SABR Model

The SABR model is a cornerstone of interest rate volatility modeling, but its practical application relies heavily on the analytical approximation by Hagan et al., whose accuracy deteriorates for high volatility, long maturities, and out-of-the-money options, admitting arbitrage. While machine learning approaches have been proposed to overcome these limitations, they have often been limited by simplified SABR dynamic

Giorgia Rensi, Pietro Rossi, Marco Bianchetti
arXiv · arXiv q-fin · 2023

A Heath-Jarrow-Morton framework for energy markets: a pragmatic approach

In this article we discuss the application of the Heath-Jarrow-Morton framework Heath et al. [26] to energy markets. The goal of the article is to give a detailed overview of the topic, focusing on practical aspects rather than on theory, which has been widely studied in literature. This work aims to be a guide for practitioners and for all those who deal with the practical issues of this approach to energy market. I

Matteo Gardini, Edoardo Santilli
arXiv · arXiv q-fin · 2022

The Cross-Sectional Intrinsic Entropy. A Comprehensive Stock Market Volatility Estimator

To take into account the temporal dimension of uncertainty in stock markets, this paper introduces a cross-sectional estimation of stock market volatility based on the intrinsic entropy model. The proposed cross-sectional intrinsic entropy (CSIE) is defined and computed as a daily volatility estimate for the entire market, grounded on the daily traded prices: open, high, low, and close prices (OHLC), along with the d

Claudiu Vinte, Marcel Ausloos
arXiv · arXiv q-fin · 2017

Complex Correlation Approach for High Frequency Financial Data

We propose a novel approach that allows to calculate Hilbert transform based complex correlation for unevenly spaced data. This method is especially suitable for high frequency trading data, which are of a particular interest in finance. Its most important feature is the ability to take into account lead-lag relations on different scales, without knowing them in advance. We also present results obtained with this app

Mateusz Wilinski, Yuichi Ikeda, Hideaki Aoyama
arXiv · arXiv q-fin · 2016

Dynamic Multi-Factor Bid-Offer Adjustment Model: A Feedback Mechanism for Dealers (Market Makers) to Deal (Grapple) with the Uncertainty Principle of the Social Sciences

The author seeks to develop a model to alter the bid-offer spread, currently quoted by market makers, that varies with the market and trading conditions. The dynamic nature of financial markets and trading, as with the rest of social sciences, where changes can be observed and decisions can be made by participants to influence the system, means that this model has to be adaptive and include a feedback loop that alter

Ravi Kashyap
arXiv · arXiv q-fin · 2014

Braided and Knotted Stocks in the Stock Market: Anticipating the flash crashes

A simple and elegant arrangement of stock components of a portfolio (market index-DJIA) in a recent paper [1], has led to the construction of crossing of stocks diagram. The crossing stocks method revealed hidden remarkable algebraic and geometrical aspects of stock market. The present paper continues to uncover new mathematical structures residing from crossings of stocks diagram by introducing topological propertie

Ovidiu Racorean
arXiv · arXiv q-fin · 2014

Crossing Stocks and the Positive Grassmannian I: The Geometry behind Stock Market

It seems to be very unlikely that all relevant information in the stock market could be fully encoded in a geometrical shape. Still,the present paper will reveal the geometry behind the stock market transactions. The prices of market index (DJIA) stock components are arranged in ascending order from the smallest one in the left to the highest in the right. In such arrangement, as stock prices changes due to daily mar

Ovidiu Racorean
arXiv · arXiv q-fin · 2012

Comprehensive Analysis of Market Conditions in the Foreign Exchange Market: Fluctuation Scaling and Variance-Covariance Matrix

We investigate quotation and transaction activities in the foreign exchange market for every week during the period of June 2007 to December 2010. A scaling relationship between the mean values of number of quotations (or number of transactions) for various currency pairs and the corresponding standard deviations holds for a majority of the weeks. However, the scaling breaks in some time intervals, which is related t

Aki-Hiro Sato, Takaki Hayashi, Janusz A. Hołyst
arXiv · arXiv q-fin · 2012

Negative Kelvin temperatures in stock markets

A spin model relating physical to financial variables is presented. This work is the first to introduce the concept of negative absolute temperature into stock market dynamics by establishing a rigorous formal analogy between physical and financial variables. Based on this model, an algorithm evaluating negative temperatures was applied to an analysis of New York Stock Exchange quotations from November 2002 up to the

J. L. Subias
arXiv · arXiv q-fin · 2007

Application of spectral methods for high-frequency financial data to quantifying states of market participants

Empirical analysis of the foreign exchange market is conducted based on methods to quantify similarities among multi-dimensional time series with spectral distances introduced in [A.-H. Sato, Physica A, 382 (2007) 258--270]. As a result it is found that the similarities among currency pairs fluctuate with the rotation of the earth, and that the similarities among best quotation rates are associated with those among q

Aki-Hiro Sato
arXiv · arXiv · 2011

From the currency rate quotations onto strings and brane world scenarios

In the paper, we study numerically the projections of the real exchange rate dynamics onto the string-like topology. Our approach is inspired by the contemporary movements in the string theory. The string map of data is defined here by the boundary conditions, characteristic length, real valued and the method of redistribution of information. As a practical matter, this map represents the detrending and data standard

D. Horvath, R. Pincak
arXiv · arXiv · 2016

Kriging of financial term-structures

Due to the lack of reliable market information, building financial term-structures may be associated with a significant degree of uncertainty. In this paper, we propose a new term-structure interpolation method that extends classical spline techniques by additionally allowing for quantification of uncertainty. The proposed method is based on a generalization of kriging models with linear equality constraints (market-

Areski Cousin, Hassan Maatouk, Didier Rullière
Wiki Entities · 1
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