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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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48 results for interbank flows

High-value transactions between Australian banks are settled in the Reserve Bank Information and Transfer System (RITS) administered by the Reserve Bank of Australia. RITS operates on a real-time gross settlement (RTGS) basis and settles payments sourced from the SWIFT, the Austraclear, and the interbank transactions e…

2012-02-15abs ↗pdf ↗

Modelling of contagion in interbank networks is discussed. A model taking into account bow-tie structure and dissasortativity of interbank networks is developed. The model is shown to provide a good quantitative description of the Russian interbank market. Detailed arguments favoring the non-percolative nature of conta…

2014-10-01abs ↗pdf ↗

Systemic risks of default contagion in the Russian interbank market are investigated. The analysis is based on considering the bow-tie structure of the weighted oriented graph describing the structure of the interbank loans. A probabilistic model of interbank contagion explicitly taking into account the empirical bow-t…

2014-09-03abs ↗pdf ↗

We discuss the systemic risk implied by the interbank exposures reconstructed with the maximum entropy method. The maximum entropy method severely underestimates the risk of interbank contagion by assuming a fully connected network, while in reality the structure of the interbank network is sparsely connected. Here, we…

2017-03-05abs ↗pdf ↗

Paper uses interbank contagion to predict U.S. bank defaults, finding it highly explanatory.

problem Predicting U.S. bank defaults using interbank contagion.
method Regression and neural network models were used to analyze U.S. commercial bank data.
result Interbank contagion is highly explanatory in default prediction, often outperforming established metrics.

Study reveals multiple core-periphery structures in interbank markets, transforming during financial crises.

problem Understanding the complex structure and transformation of interbank markets during financial crises.
method Novel core-periphery detection method on eMID interbank market data.
result Interbank markets exhibit multiple core-periphery pairs and transition to bipartite structures over short time scales.

Proposes a new model to simulate interbank market liquidity risk.

problem Lack of complete interbank network data for systemic liquidity risk analysis.
method Epidemic model using funding liquidity shortage mechanism, enriched with country and bank risk features.
result Model successfully reproduces systemic liquidity risk across different years and countries.

Model shows how banks' fears of future defaults can cause immediate financial stress.

problem How banks' future default worries cause immediate financial stress.
method Dynamic interbank model with endogenous distress contagion, mark-to-market valuation adjustment, forward-backward approach.
result Distress contagion acts as a stochastic volatility term leading to clustering and down-market spikes.

Study shows self-exciting shocks increase systemic risk in interbank networks.

problem Systemic risk in interbank lending networks with self-exciting shocks.
method Mean-field model, weak convergence analysis, measure-valued process, law of large numbers.
result Self-exciting shocks increase systemic risk in interbank networks.

Study uncovers that loan maturity layers in interbank networks are crucial for understanding their structure and functions.

problem Lack of maturity details in interbank lending networks hinders understanding of network structure and functions.
method Used a complete interbank loan contract dataset and applied the layered stochastic block model to investigate multiple maturity layers.
result Optimal maturity granularity reveals specific economic functions, such as liquidity intermediation and financing.

The interbank market has a natural multiplex network representation. We employ a unique database of supervisory reports of Italian banks to the Banca d'Italia that includes all bilateral exposures broken down by maturity and by the secured and unsecured nature of the contract. We find that layers have different topolog…

2013-11-19abs ↗pdf ↗

Study confirms eurozone interbank market stability but finds higher collateral reuse.

problem Analyzing eurozone interbank market behavior and stability.
method Examined secured transactions data from ECB, tested stylized facts, measured network properties.
result Observed higher collateral reuse and network symmetry compared to unsecured markets.

The study identifies relationship lending in interbank markets using statistical tests.

problem Lack of consensus on measuring relationship strength in lending between banks.
method Statistical tests to identify relationship lending as significant ties between banks.
result The fraction of relationship lending is stable and lenders impose high interest rates during financial distress.

Dynamic network model forecasts interbank market link formation.

problem Forecasting interbank market link formation with time-varying topologies.
method Dynamic network model with past link existence and node-specific latent variables. Markov dynamics and EM algorithm for estimation.
result Forecasting future link presence and recognition of preferential lending.

Financial contagion from liquidity shocks has being recently ascribed as a prominent driver of systemic risk in interbank lending markets. Building on standard compartment models used in epidemics, in this work we develop an EDB (Exposed-Distressed-Bankrupted) model for the dynamics of liquidity shocks reverberation be…

2016-10-11abs ↗pdf ↗

Credit and liquidity risks represent main channels of financial contagion for interbank lending markets. On one hand, banks face potential losses whenever their counterparties are under distress and thus unable to fulfill their obligations. On the other hand, solvency constraints may force banks to recover lost funding…

2016-04-22abs ↗pdf ↗

Optimal interbank lending scheme with probabilistic bank failure constraints.

problem Optimizing interbank lending in a network of interconnected banks with probabilistic constraints on failure.
method Derive a closed-form solution for an optimal control problem, compute systemic relevance parameters.
result General solution for interbank lending with probabilistic constraints for all banks.

Model measures diversification in Austrian interbank market, showing increased homogeneity.

problem Measuring diversification in Austrian interbank market.
method Dynamic network model with Markov property to capture time dependencies.
result Core banks tend to distribute market exposures more equally over time.

An interbank market lets participants pool the risk arising from the combination of illiquid investments and random withdrawals by depositors. But it also creates the potential for one bank's failure to trigger off avalanches of further failures. We simulate a model of interbank lending to study the interplay of these …

2001-04-04abs ↗pdf ↗

Study connects bank default models using dynamic contagion.

problem Understanding default contagion in heterogeneous interbank systems.
method Proposes a dynamic default contagion model with endogenous early defaults for a finite set of banks, reformulating as a stochastic particle system.
result Existence of clearing systems and continuity of the system response for the mean-field problem.

We use daily data on bilateral interbank exposures and monthly bank balance sheets to study network characteristics of the Russian interbank market over Aug 1998 - Oct 2004. Specifically, we examine the distributions of (un)directed (un)weighted degree, nodal attributes (bank assets, capital and capital-to-assets ratio…

2014-09-12abs ↗pdf ↗

Paper studies central bank's strategy to control systemic risk in interbank system.

problem Minimizing average distance between log-monetary reserves and target levels.
method Weak formulation, Ekeland's variational principle, Gamma-convergence, stochastic Fokker-Planck-Kolmogorov equation.
result Proves convergence of optimal strategies as number of banks increases.

Model assesses how supply chain disruptions affect financial stability.

problem Systemic risk in production networks and its financial implications.
method Data-driven econo-financial stress-testing framework combining supply chain and interbank networks.
result Increase of up to 28% in financial systemic risk due to production network contagion.

The paper models reciprocity in interbank markets using a statistical null model.

problem Understanding the importance of individual banks in financial networks.
method Developed an exponential random graph model to account for reciprocal links on both topological and weighted levels.
result Weighted reciprocity in interbank markets is more significant than network size and volume before the financial crisis.

The global financial crisis in 2007-2009 demonstrated that systemic risk can spread all over the world through a complex web of financial linkages, yet we still lack fundamental knowledge about the evolution of the financial web. In particular, interbank credit networks shape the core of the financial system, in which …

2017-03-31abs ↗pdf ↗

The paper examines how CoCo bonds can enhance financial stability in interconnected banking systems.

problem Enhancing financial stability in interconnected banking systems.
method Financial network model with contingent convertible (CoCo) debt obligations.
result Replacing unsecured interbank debt with CoCo debt decreases systemic risk and increases bank shareholder value.

We analyze cascades of defaults in an interbank loan market. The novel feature of this study is that the network structure and the size distribution of banks are derived from empirical data. We find that the ability of a defaulted institution to start a cascade depends on an interplay of shock size and connectivity. Fu…

2013-10-06abs ↗pdf ↗

Study optimizes interbank lending and borrowing to reduce systemic risk.

problem Optimizing lending and borrowing in interbank markets to mitigate systemic risk.
method Risk-sensitive mean field games with common noise, convex analysis, Fokker-Planck equations, first hitting time method.
result Risk-averse behavior reduces individual and systemic bank risks.

Study compares empirical systemic risk with balance sheet risk in interbank networks.

problem Disentangling balance sheet risk from network effects in systemic risk.
method Generalised DebtRank dynamics and maximum-entropy approach to compare observed and expected systemic risk.
result Systemic risk levels are compatible but differ significantly during turbulent times.

We reverse engineer dynamics of financial contagion to find the scenario of smallest exogenous shock that, should it occur, would lead to a given final systemic loss. This reverse stress test can be used to identify the potential triggers of systemic events, and it removes the arbitrariness in the selection of shock sc…

2017-02-28abs ↗pdf ↗

We analyze how errors in interbank liabilities affect the clearing vector in financial systems.

problem Estimation errors in interbank liabilities can lead to inaccuracies in the clearing vector, impacting risk assessments.
method We quantify the sensitivity of the clearing vector to estimation errors in the interbank liabilities matrix using a basis for permissible perturbations.
result We derive analytical solutions for the maximal deviations of the clearing vector and compute upper bounds for worst-case perturbations.

New method reconstructs interbank networks enforcing reciprocity to improve stability and risk prediction.

problem Lack of public interbank network data and difficulty in replicating cycles.
method Proposes a new network reconstruction method enforcing sparsity and link reciprocity from aggregate data.
result Adding reciprocity improves prediction of network properties, including largest real eigenvalue and eccentricity of eigenvalues.

Banks in the interbank network can not assess the true risks associated with lending to other banks in the network, unless they have full information on the riskiness of all the other banks. These risks can be estimated by using network metrics (for example DebtRank) of the interbank liability network which is availabl…

2013-01-25abs ↗pdf ↗