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Results for “basket” · papers 18 · wiki 6
Academic Papers · 18arXiv q-fin live 18 · desk corpus 0
arXiv · arXiv q-fin · 2018

Emerging Market Corporate Bonds as First-to-Default Baskets

Emerging market hard-currency bonds are an asset class of growing importance, and contain exposure to an EM sovereign and the underlying industry. The authors investigate how to model this as a modification of the well-known first-to-default (FtD) basket, using the structural model, and find the approach feasible.

Richard Martin, Yao Ma
arXiv · arXiv q-fin · 2024

Basket Options with Volatility Skew: Calibrating a Local Volatility Model by Sample Rearrangement

The pricing of derivatives tied to baskets of assets demands a sophisticated framework that aligns with the available market information to capture the intricate non-linear dependency structure among the assets. We describe the dynamics of the multivariate process of constituents with a copula model and propose an efficient method to extract the dependency structure from the market. The proposed method generates cohe

Nicola F. Zaugg, Lech A. Grzelak
arXiv · arXiv q-fin · 2022

Efficient Pricing and Calibration of High-Dimensional Basket Options

This paper studies equity basket options -- i.e., multi-dimensional derivatives whose payoffs depend on the value of a weighted sum of the underlying stocks -- and develops a new and innovative approach to ensure consistency between options on individual stocks and on the index comprising them. Specifically, we show how to resolve a well-known problem that when individual constituent distributions of an equity index

Lech A. Grzelak, Juliusz Jablecki, Dariusz Gatarek
arXiv · arXiv q-fin · 2014

Implied volatility of basket options at extreme strikes

In the paper, we characterize the asymptotic behavior of the implied volatility of a basket call option at large and small strikes in a variety of settings with increasing generality. First, we obtain an asymptotic formula with an error bound for the left wing of the implied volatility, under the assumption that the dynamics of asset prices are described by the multidimensional Black-Scholes model. Next, we find the

Archil Gulisashvili, Peter Tankov
arXiv · arXiv q-fin · 2012

Lower Bound Approximation to Basket Option Values for Local Volatility Jump-Diffusion Models

In this paper we derive an easily computed approximation to European basket call prices for a local volatility jump-diffusion model. We apply the asymptotic expansion method to find the approximate value of the lower bound of European basket call prices. If the local volatility function is time independent then there is a closed-form expression for the approximation. Numerical tests show that the suggested approximat

Guoping Xu, Harry Zheng
arXiv · arXiv q-fin · 2010

Optimizing a basket against the efficient market hypothesis

The possibility that the collective dynamics of a set of stocks could lead to a specific basket violating the efficient market hypothesis is investigated. Precisely, we show that it is systematically possible to form a basket with a non-trivial autocorrelation structure when the examined time scales are at the order of tens of seconds. Moreover, we show that this situation is persistent enough to allow some kind of f

Frédéric Abergel, Mauro Politi
arXiv · arXiv q-fin · 2010

Basket Options Valuation for a Local Volatility Jump-Diffusion Model with the Asymptotic Expansion Method

In this paper we discuss the basket options valuation for a jump-diffusion model. The underlying asset prices follow some correlated local volatility diffusion processes with systematic jumps. We derive a forward partial integral differential equation (PIDE) for general stochastic processes and use the asymptotic expansion method to approximate the conditional expectation of the stochastic variance associated with th

Guoping Xu, Harry Zheng
arXiv · arXiv q-fin · 2010

Marking Systemic Portfolio Risk with Application to the Correlation Skew of Equity Baskets

The downside risk of a portfolio of (equity)assets is generally substantially higher than the downside risk of its components. In particular in times of crises when assets tend to have high correlation, the understanding of this difference can be crucial in managing systemic risk of a portfolio. In this paper we generalize Merton's option formula in the presence jumps to the multi-asset case. It is shown how common j

Alex Langnau, Daniel Cangemi
arXiv · arXiv q-fin · 2014

Convenient liquidity measure for Financial markets

A liquidity measure based on consideration and price range is proposed. Initially defined for daily data, Liquidity Index (LIX) can also be estimated via intraday data by using a time scaling mechanism. The link between LIX and the liquidity measure based on weighted average bid-ask spread is established. Using this liquidity measure, an elementary liquidity algebra is possible: from the estimation of the execution c

Oleh Danyliv, Bruce Bland, Daniel Nicholass
arXiv · arXiv q-fin · 2026

Portfolio Preference Elicitation in Institutional Crossing Markets

Institutional crossing platforms face a hidden-information problem: investors value trades as portfolios, but liquidity discovery is typically organized around individual securities. We model portfolio crossing as limited-communication preference elicitation over signed portfolio trades. The platform first uses price-directed demand queries to search the portfolio space and then verifies selected packages through val

Yoontae Hwang
arXiv · arXiv q-fin · 2025

STRAPSim: A Portfolio Similarity Metric for ETF Alignment and Portfolio Trades

Accurately measuring portfolio similarity is critical for a wide range of financial applications, including Exchange-traded Fund (ETF) recommendation, portfolio trading, and risk alignment. Existing similarity measures often rely on exact asset overlap or static distance metrics, which fail to capture similarities among the constituents (e.g., securities within the portfolio) as well as nuanced relationships between

Mingshu Li, Dhruv Desai, Jerinsh Jeyapaulraj, Philip Sommer, Riya Jain
arXiv · arXiv q-fin · 2024

Automated Market Making and Decentralized Finance

Automated market makers (AMMs) are a new type of trading venues which are revolutionising the way market participants interact. At present, the majority of AMMs are constant function market makers (CFMMs) where a deterministic trading function determines how markets are cleared. Within CFMMs, we focus on constant product market makers (CPMMs) which implements the concentrated liquidity (CL) feature. In this thesis we

Marcello Monga
arXiv · arXiv q-fin · 2017

Trading Lightly: Cross-Impact and Optimal Portfolio Execution

We model the impact costs of a strategy that trades a basket of correlated instruments, by extending to the multivariate case the linear propagator model previously used for single instruments. Our specification allows us to calibrate a cost model that is free of arbitrage and price manipulation. We illustrate our results using a pool of US stocks and show that neglecting cross-impact effects leads to an incorrect es

Iacopo Mastromatteo, Michael Benzaquen, Zoltan Eisler, Jean-Philippe Bouchaud
arXiv · arXiv q-fin · 2024

Low Volatility Stock Portfolio Through High Dimensional Bayesian Cointegration

We employ a Bayesian modelling technique for high dimensional cointegration estimation to construct low volatility portfolios from a large number of stocks. The proposed Bayesian framework effectively identifies sparse and important cointegration relationships amongst large baskets of stocks across various asset spaces, resulting in portfolios with reduced volatility. Such cointegration relationships persist well ove

Parley R Yang, Alexander Y Shestopaloff
arXiv · arXiv q-fin · 2018

Trading Cointegrated Assets with Price Impact

Executing a basket of co-integrated assets is an important task facing investors. Here, we show how to do this accounting for the informational advantage gained from assets within and outside the basket, as well as for the permanent price impact of market orders (MOs) from all market participants, and the temporary impact that the agent's MOs have on prices. The execution problem is posed as an optimal stochastic con

Alvaro Cartea, Luhui Gan, Sebastian Jaimungal
arXiv · arXiv q-fin · 2013

The arbitrage-free Multivariate Mixture Dynamics Model: Consistent single-assets and index volatility smiles

We introduce a multivariate diffusion model that is able to price derivative securities featuring multiple underlying assets. Each asset volatility smile is modeled according to a density-mixture dynamical model while the same property holds for the multivariate process of all assets, whose density is a mixture of multivariate basic densities. This allows to reconcile single name and index/basket volatility smiles in

Damiano Brigo, Francesco Rapisarda, Abir Sridi
arXiv · arXiv q-fin · 2008

Hedging strategies and minimal variance portfolios for European and exotic options in a Levy market

This paper presents hedging strategies for European and exotic options in a Levy market. By applying Taylor's Theorem, dynamic hedging portfolios are con- structed under different market assumptions, such as the existence of power jump assets or moment swaps. In the case of European options or baskets of European options, static hedging is implemented. It is shown that perfect hedging can be achieved. Delta and gamma

Wing Yan Yip, Sofia Olhede, David Stephens
arXiv · arXiv q-fin · 2000

Multifractal returns and Hierarchical Portfolio Theory

We extend and test empirically the multifractal model of asset returns based on a multiplicative cascade of volatilities from large to small time scales. The multifractal description of asset fluctuations is generalized into a multivariate framework to account simultaneously for correlations across times scales and between a basket of assets. The reported empirical results show that this extension is pertinent for fi

J. -F. Muzy, D. Sornette, J. Delour, A. Arneodo
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