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Results for “buffer” · papers 16 · wiki 3
Academic Papers · 16arXiv q-fin live 8 · desk corpus 13
arXiv · arXiv q-fin · 2025

Multi-period Mean-Buffered Probability of Exceedance in Defined Contribution Portfolio Optimization

We investigate multi-period mean-risk portfolio optimization for long-horizon Defined Contribution plans, focusing on buffered Probability of Exceedance (bPoE), a more intuitive, dollar-based alternative to Conditional Value-at-Risk (CVaR). We formulate both pre-commitment and time-consistent Mean-bPoE and Mean-CVaR portfolio optimization problems under realistic investment constraints (e.g., no leverage, no short se

Duy-Minh Dang, Chang Chen
arXiv · arXiv · 2017

A buffer Hawkes process for limit order books

We introduce a Markovian single point process model, with random intensity regulated through a buffer mechanism and a self-exciting effect controlling the arrival stream to the buffer. The model applies the principle of the Hawkes process in which point process jumps generate a shot-noise intensity field. Unlike the Hawkes case, the intensity field is fed into a separate buffer, the size of which is the driving inten

Ingemar Kaj, Mine Caglar
arXiv · arXiv q-fin · 2026

Herding and Liquidity in Order-Book Markets. III. Leverage and the Onset of Endogenous Liquidity Crises under Weak Anchoring

Fundamental-value anchoring of resting liquidity is a causal stabiliser of an order-book market: while the anchor holds, even a heavily leveraged book stays quiet. We take that anchor strength as a continuous control and characterise the endogenous liquidity crises that appear once it is nearly removed. In a single continuous-double-auction market driven by anchored noise traders, chartist herders, a population of fu

Jan Novotny
arXiv · arXiv q-fin · 2021

Liquidity Stress Testing in Asset Management -- Part 3. Managing the Asset-Liability Liquidity Risk

This article is part of a comprehensive research project on liquidity risk in asset management, which can be divided into three dimensions. The first dimension covers the modeling of the liability liquidity risk (or funding liquidity), the second dimension is dedicated to the modeling of the asset liquidity risk (or market liquidity), whereas the third dimension considers the management of the asset-liability liquidi

Thierry Roncalli
arXiv · arXiv q-fin · 2026

Dynamic Collateral Control for Permissionless Spot Perpetual Basis Trading

We study permissionless spot--perpetual basis trading in decentralized finance as a collateral control problem. The strategy holds spot inventory, hedges directional exposure with a short perpetual, and allocates capital between spot inventory and derivative margin under on-chain liquidity and execution frictions. The paper delivers three results. First, it solves a static control problem for the collateral share and

Anatoly Krestenko, Mikhail Butov, Rostislav Berezovskiy, Danila Bolotin
arXiv · arXiv q-fin · 2025

Institutional Differences, Crisis Shocks, and Volatility Structure: A By-Window EGARCH/TGARCH Analysis of ASEAN Stock Markets

This study examines how institutional differences and external crises shape volatility dynamics in emerging Asian stock markets. Using daily stock index returns for Indonesia, Malaysia, and the Philippines from 2010 to 2024, we estimate EGARCH(1,1) and TGARCH(1,1) models in a by-window design. The sample is split into the 2013 Taper Tantrum, the 2020-2021 COVID-19 period, the 2022-2023 rate-hike cycle, and tranquil p

Junlin Yang
arXiv · arXiv q-fin · 2025

The Stablecoin Discount: Evidence of Tether's U.S. Treasury Bill Market Share in Lowering Yields

Stablecoins represent a critical bridge between cryptocurrency and traditional finance, with Tether (USDT) dominating the sector as the largest stablecoin by market capitalization. By Q1 2025, Tether directly held approximately $98.5 billion in U.S. Treasury bills, representing 1.6% of all outstanding Treasury bills, making it one of the largest non-sovereign buyers in this crucial asset class, on par with nation-sta

Lennart Ante, Aman Saggu, Ingo Fiedler
arXiv · arXiv q-fin · 2013

Contraction or steady state? An analysis of credit risk management in Italy in the period 2008-2012

Credit risk management in Italy is characterized, in the period June 2008 to June 2012, by frequent (frequency=0.5 cycles per year) and intense (peak amplitude: mean=39.2 billion Euros, s.e.=2.83 billion Euros) quarterly contractions and expansions around the mean (915.4 billion Euros, s.e.=3.59 billion Euros) of the nominal total credit used by non-financial corporations. Such frequent and intense fluctuations are f

Stefano Olgiati, Alessandro Danovi
arXiv · arXiv q-fin · 2012

Optimal multifactor trading under proportional transaction costs

Proportional transaction costs present difficult theoretical problems in trading algorithm design, on account of their lack of analytical tractability. The author derives a solution of DT-NT-DT form for an arbitrary model in which the the traded asset has diffusive dynamics described by one or more stochastic risk factors. The width of the NT zone is found to be, as expected, proportional to the cube root of the tran

Richard J. Martin
arXiv · arXiv · 2026

Axient: Debt-Free Finality for Leveraged Binary Event Markets

Leveraged event positions combine a repayable loan with an outcome claim that may become non-tradable before oracle payout is final. This paper specifies Axient, a physically backed margin layer for binary event markets that separates leverage maturity from claim maturity and makes the hard-flat decision under explicit execution uncertainty. The model distinguishes quoted book proceeds, matched proceeds, settled proc

Maksym Nechepurenko
arXiv · arXiv · 2025

CBDC Stress Test in a Dual-Currency Setting

This study explores the potential impact of introducing a Central Bank Digital Currency (CBDC) on financial stability in an emerging dual-currency economy (Romania), where the domestic currency (RON) coexists with the euro. It develops an integrated analytical framework combining econometrics, machine learning, and behavioural modelling. CBDC adoption probabilities are estimated using XGBoost and logistic regression

Catalin Dumitrescu
arXiv · arXiv · 2024

The not-so-hidden risks of 'hidden-to-maturity' accounting: on depositor runs and bank resilience

We introduce a simple model of depositor runs to capture run risks at financial institutions based on their balance sheet composition. Specifically, we consider a reduced potential to raise capital from liquidity buffers under stress, during a stylized run driven by depositor scrutiny and further fueled by fire sales in response to withdrawals. The setup is inspired by the Silicon Valley Bank meltdown in March 2023 a

Zachary Feinstein, Grzegorz Halaj, Andreas Sojmark
arXiv · arXiv · 2024

Real-time Risk Metrics for Programmatic Stablecoin Crypto Asset-Liability Management (CALM)

Stablecoins have turned out to be the "killer" use case of the growing digital asset space. However, risk management frameworks, including regulatory ones, have been largely absent. In this paper, we address the critical question of measuring and managing risk in stablecoin protocols, which operate on public blockchain infrastructure. The on-chain environment makes it possible to monitor risk and automate its managem

Marcel Bluhm, Adrian Cachinero Vasiljević, Sébastien Derivaux, Søren Terp Hørlück Jessen
arXiv · arXiv · 2023

Dynamic Function Market Maker

Decentralised automated market makers (AMMs) have gained significant attention recently. We propose an adaptive and automated Dynamic Function Market Maker (DFMM) that addresses challenges in this space. Our DFMM protocol includes a data aggregator and an order routing mechanism. It synchronises price-sensitive market information, asserting the principle of one price, and ensuring market efficiency. The data aggregat

Arman Abgaryan, Utkarsh Sharma
arXiv · arXiv · 2020

Sector connectedness in the Chinese stock markets

Uncovering the risk transmitting path within economic sectors in China is crucial for understanding the stability of the Chinese economic system, especially under the current situation of the China-US trade conflicts. In this paper, we try to uncover the risk spreading channels by means of volatility spillovers within the Chinese sectors using stock market data. By applying the generalized variance decomposition fram

Ying-Ying Shen, Zhi-Qiang Jiang, Jun-Chao Ma, Gang-Jin Wang, Wei-Xing Zhou
arXiv · arXiv · 2013

Regulatory-Optimal Funding

Funding is a cost to trading desks that they see as an input. Current FVA-related literature reflects this by also taking funding costs as an input, usually constant, and always risk-neutral. However, this funding curve is the output from a Treasury point of view. Treasury must consider Regulatory-required liquidity buffers, and both risk-neutral (Q) and physical measures (P). We describe the Treasury funding problem

Chris Kenyon, Andrew Green
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