arXiv research

Predicts short-term futures contract direction using neural networks and order flow data.

Improved stable RNNs trained faster with less expressibility trade-off.

A contraction analysis improves model-based RL's error recovery.

Improved security of smart contracts by classifying them into four categories.

Transformer pretraining yields strong EB performance without explicit adaptation.

Ethereum smart contracts have recently drawn a considerable amount of attention from the media, the financial industry and academia. With the increase in popularity, malicious users found new opportunities to profit by deceiving newcomers. Consequently, attackers started luring other attackers into contracts that seem …

Transformers can be made to implement specific algorithms by controlling training parameters.

We study $E_γ$-divergence contraction and its privacy implications.

We present an effective technique for training deep learning agents capable of negotiating on a set of clauses in a contract agreement using a simple communication protocol. We use Multi Agent Reinforcement Learning to train both agents simultaneously as they negotiate with each other in the training environment. We al…

Deep reinforcement learning improves trading performance in financial markets.

Paper proposes a deep RL method for hedging variable annuities, outperforming misspecified models.

The paper explores coalescent contractions in contractible spaces, providing criteria and examples.

The contractive auto-encoder learns a representation of the input data that captures the local manifold structure around each data point, through the leading singular vectors of the Jacobian of the transformation from input to representation. The corresponding singular values specify how much local variation is plausib…

Computable contracts simplify financial transactions and reduce legal costs.

We prove optimal mechanisms for general contract spaces.

In an online contract selection problem there is a seller which offers a set of contracts to sequentially arriving buyers whose types are drawn from an unknown distribution. If there exists a profitable contract for the buyer in the offered set, i.e., a contract with payoff higher than the payoff of not accepting any c…

Optimal execution strategy for merger & acquisition contracts with price impact.

The study calibrates neural networks' parameters through optimal contraction in prediction problems.

This paper develops a method to select a reference contract for multi-contract quoting to minimize execution risk.

The study identifies conditions under which algorithmic stability explains generalization in interpolating learning systems.

Proposes a probabilistic framework for smart contract risk quantification.

Bayesian model averaging fails under covariate shift, affecting neural networks' performance.

Study on contracting maps and their rigidity under curvature constraints.

We study locally compact contractive local groups, that is, locally compact local groups with a contractive pseudo-automorphism. We prove that if such an object is locally connected, then it is locally isomorphic to a Lie group. We also prove a related structure theorem for locally compact contractive local groups whic…

Study shows some contractible complexes can't have certain immersions.

This paper presents some partial answers to the following question. QUESTION. If a normal space X is the union of an increasing sequence of open sets U(1), U(2), U(3) ... such that each U(n) contracts to a point in X, must X be contractible? The main results of the paper are: THEOREM 1. If a normal space X is the union…

Improved online learning for fuzzy min-max neural networks.

The simplicial volume of non-R^3 contractible 3-manifolds is infinite.

Study on reinsurance decisions using mean-variance criterion with irreversible contracts.

Optimal contracts help principals delegate data collection in decentralized ML.

Optimal contracts are found for agents with quadratic effort costs.

Fair insurance contracts are designed to handle default risk using cooperative game theory.

This paper investigates Pareto optimal (PO, for short) insurance contracts in a behavioral finance framework, in which the insured evaluates contracts by the rank-dependent utility (RDU) theory and the insurer by the expected value premium principle. The incentive compatibility constraint is taken into account, so the …

One can define what it means for a compact manifold with corners to be a "contractible manifold with contractible faces." Two combinatorially equivalent, contractible manifolds with contractible faces are diffeomorphic if and only if their 4-dimensional faces are diffeomorphic. It follows that two simple convex polytop…

New mortgage contracts reduce underwater default by adjusting loan balances, but must balance prepayment incentives.

We define a new notion of contracting element of a group and we show that contracting elements coincide with hyperbolic elements in relatively hyperbolic groups, pseudo-Anosovs in mapping class groups, rank one isometries in groups acting properly on proper CAT(0) spaces, elements acting hyperbolically on the Bass-Serr…

Randomly initialized transformers show extreme token preferences.

Paper presents LLM-enhanced contract metadata extraction.

Optimal linear contracts are possible even with memory in Gaussian settings.

Safe-EF improves federated learning for non-smooth, constrained optimization.

Proves equivalence of two types of boundaries in metric spaces.

Let $X$ be a contractible $2$-complex which is a union of two contractible subcomplexes $Y$ and $Z.$ Is the intersection $Y\cap Z$ contractible as well? In this note, we prove that the inclusion-induced map $π_{1}(Y\cap Z)\rightarrow π_{1}(Z)$ is injective if $Y$ is $π_{1}$-injective subcomplex in a locally CAT(0) 2-co…

This work presents a methodology for forward electricity contract price projection based on market equilibrium and social welfare optimization. In the methodology supply and demand for forward contracts are produced in such a way that each agent (generator/load/trader) optimizes a risk adjusted expected value of its re…

New proof for hyperbolic groups using contracting boundaries of cusped spaces.

Establishes exponential contraction in Wasserstein distance on manifolds and flows.

Curvature conditions distinguish Euclidean space and disks in contractible manifolds.

A reinsurance contract should address the conflicting interests of the insurer and reinsurer. Most of existing optimal reinsurance contracts only considers the interests of one party. This article combines the proportional and stop-loss reinsurance contracts and introduces a new reinsurance contract called proportional…

Prediction markets can be manipulated by traders who can move contract settlements, harming price discovery.