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Results for “money” · papers 18 · wiki 22
Academic Papers · 18arXiv q-fin live 8 · desk corpus 60
arXiv · arXiv q-fin · 2021

Time is Money: The Equilibrium Trading Horizon and Optimal Arrival Price

Executing even moderately large derivatives orders can be expensive and risky; it's hard to balance the uncertainty of working an order over time versus paying a liquidity premium for immediate execution. Here, we introduce the Time Is Money model, which calculates the Equilibrium Trading Horizon over which to execute an order within the adversarial forces of variance risk and liquidity premium. We construct a hypoth

Kevin Patrick Darby
arXiv · arXiv q-fin · 2024

Adaptive Money Market Interest Rate Strategy Utilizing Control Theory

Decentralized Finance (DeFi) money markets have seen explosive growth in recent years, with billions of dollars borrowed in various cryptocurrency assets. Key to the safety of money markets is the implementation of interest rates that determine the cost of borrowing, and govern counterparty exposure and return. In traditional markets, interest rates are set by risk managers, portfolio managers, the Federal Reserve, a

Yuval Boneh
arXiv · arXiv q-fin · 2021

The Origination and Distribution of Money Market Instruments: Sterling Bills of Exchange during the First Globalization

This paper presents a detailed analysis of how liquid money market instruments -- sterling bills of exchange -- were produced during the first globalisation. We rely on a unique data set that reports systematic information on all 23,493 bills re-discounted by the Bank of England in the year 1906. Using descriptive statistics and network analysis, we reconstruct the complete network of linkages between agents involved

Olivier Accominotti, Delio Lucena-Piquero, Stefano Ugolini
arXiv · arXiv · 2026

OOM-RL: Out-of-Money Reinforcement Learning Market-Driven Alignment for LLM-Based Multi-Agent Systems

The alignment of Multi-Agent Systems (MAS) for autonomous software engineering is constrained by evaluator epistemic uncertainty. Current paradigms, such as Reinforcement Learning from Human Feedback (RLHF) and AI Feedback (RLAIF), frequently induce model sycophancy, while execution-based environments suffer from adversarial "Test Evasion" by unconstrained agents. In this paper, we introduce an objective alignment pa

Kun Liu, Liqun Chen
arXiv · arXiv · 2024

A minimal model of money creation under regulatory constraints

We propose a minimal model of the secured interbank network able to shed light on recent money markets puzzles. We find that excess liquidity emerges due to the interactions between the reserves and liquidity ratio constraints; the appearance of evergreen repurchase agreements and collateral re-use emerges as a simple answer to banks' counterparty risk and liquidity ratio regulation. In line with prevailing theories,

Victor Le Coz, Michael Benzaquen, Damien Challet
arXiv · arXiv · 2023

Predictive Optimized Model on Money Markets Instruments With Capital Market and Bank Rates Ratio

The money market and the capital market of the Indian financial markets have a symbiotic relationship in the development of the Indian economy. The nature and the characteristics of the markets differ to a large extent as the money market ensures liquidity in the system through the monetary policy by the regulators; capital markets propel and act as the engine driver for the economy in the long term. Therefore, the f

Bilal Hungund, Shilpa Rastogi
arXiv · arXiv · 2017

The micro-foundations of an open economy money demand: An application to the Central and Eastern European countries

This paper investigates and compares currency substitution between the currencies of Central and Eastern European (CEE) countries and the euro. In addition, we develop a model with microeconomic foundations, which identifies difference between currency substitution and money demand sensitivity to exchange rate variations. More precisely, we posit that currency substitution relates to money demand sensitivity to the i

Claudiu Tiberiu Albulescu, Dominique Pépin, Stephen Miller
arXiv · arXiv · 2016

A New Currency of the Future: The Novel Commodity Money with Attenuation Coefficient Based on the Logistics Cost of Anchor

In this paper, we reveal the attenuation mechanism of anchor of the commodity money from the perspective of logistics warehousing costs, and propose a novel Decayed Commodity Money (DCM) for the store of value across time and space. Considering the logistics cost of commodity warehousing by the third financial institution such as London Metal Exchange, we can award the difference between the original and the residual

Boliang Lin, Ruixi Lin
arXiv · arXiv · 2026

Settlement Infrastructure, Inside Money Elasticity, and the Network Economics of Distributed Ledger Technology

We construct the Settlement Modernisation Index, a panel dataset of 809 reform events across 24 advanced economies between 1993 and 2024, decomposed into three economic channels and three adoption phases. We document an S-curve in inside money elasticity with two interior turning points at SMI = 0.27 and 0.93, separating a liberation phase, a post-global-financial-crisis compliance valley, and a mature-infrastructure

Michail Samawi, Hui Gong, Francesca Medda
arXiv · arXiv · 2026

Money-Back Tontines for Retirement Decumulation: Neural-Network Optimization under Systematic Longevity Risk

Money-back guarantees (MBGs) are features of pooled retirement income products that address bequest concerns by ensuring the initial premium is returned through lifetime payments or, upon early death, as a death benefit to the estate. This paper studies optimal retirement decumulation in an individual tontine account with an MBG overlay under international diversification and systematic longevity risk. The retiree ch

German Nova Orozco, Duy-Minh Dang, Peter A. Forsyth
arXiv · arXiv · 2025

Efficient Importance Sampling under Heston Model: Short Maturity and Deep Out-of-the-Money Options

This paper investigates asymptotically optimal importance sampling (IS) schemes for pricing European call options under the Heston stochastic volatility model. We focus on two distinct rare-event regimes where standard Monte Carlo methods suffer from significant variance deterioration: the limit as maturity approaches zero and the limit as the strike price tends to infinity. Leveraging the large deviation principle (

Yun-Feng Tu, Chuan-Hsiang Han
arXiv · arXiv · 2025

A parallel monetary system based on the redeemable self-decaying money -- The ultimate hedge and safe haven of private wealth in the rising wave of over issuance of fiat and token money/stablecoin

A currency with stable purchasing power can always provide a psychological haven for people around the world. However, since the collapse of the Bretton Woods system, issuing more cheap currencies has become a common trend in the international community, and the legalization and over issuance of stablecoins will strengthen this trend. In this context, our study focused on a parallel monetary system based on a redeema

Boliang Lin, Ruixi Lin
arXiv · arXiv · 2024

Stylized facts in money markets: an empirical analysis of the eurozone data

Using the secured transactions recorded within the Money Markets Statistical Reporting database of the European Central Bank, we test several stylized facts regarding interbank market of the 47 largest banks in the eurozone. We observe that the surge in the volume of traded evergreen repurchase agreements followed the introduction of the LCR regulation and we measure a rate of collateral re-use consistent with the li

Victor Le Coz, Nolwenn Allaire, Michael Benzaquen, Damien Challet
arXiv · arXiv · 2024

Combating Financial Crimes with Unsupervised Learning Techniques: Clustering and Dimensionality Reduction for Anti-Money Laundering

Anti-Money Laundering (AML) is a crucial task in ensuring the integrity of financial systems. One keychallenge in AML is identifying high-risk groups based on their behavior. Unsupervised learning, particularly clustering, is a promising solution for this task. However, the use of hundreds of features todescribe behavior results in a highdimensional dataset that negatively impacts clustering performance.In this paper

Ahmed N. Bakry, Almohammady S. Alsharkawy, Mohamed S. Farag, Kamal R. Raslan
arXiv · arXiv · 2023

Bank Deposits as {\em Money Quanta}

According to the Accounting View of Money (AVM), the money issued by commercial banks in the form of demand deposits features a hybrid nature, since deposits can be shown to consist of a share of deposits bearing the characteristics of debt (debt-deposits) and a share of deposits bearing the characteristics of equity (equity-deposits), in a mix that depends on factors that relate to the issuing banks and the environm

Fabio Bagarello, Biagio Bossone
arXiv · arXiv · 2022

Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin

Criminals have become increasingly experienced in using cryptocurrencies, such as Bitcoin, for money laundering. The use of cryptocurrencies can hide criminal identities and transfer hundreds of millions of dollars of dirty funds through their criminal digital wallets. However, this is considered a paradox because cryptocurrencies are goldmines for open-source intelligence, giving law enforcement agencies more power

Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
arXiv · arXiv · 2022

Pandemic Recession and Helicopter Money: Venice, 1629--1631

We analyse the money-financed fiscal stimulus implemented in Venice during the famine and plague of 1629--31, which was equivalent to a 'net-worth helicopter money' strategy -- a monetary expansion generating losses to the issuer. We argue that the strategy aimed at reconciling the need to subsidize inhabitants suffering from containment policies with the desire to prevent an increase in long-term government debt, bu

Charles Goodhart, Donato Masciandaro, Stefano Ugolini
arXiv · arXiv · 2021

The black hole of logistics costs of digitizing commodity money

In this paper, we reveal the depreciation mechanism of representative money (banknotes) from the perspective of logistics warehousing costs. Although it has long been the dream of economists to stabilize the buying power of the monetary units, the goal we have honest money always broken since the central bank depreciate the currency without limit. From the point of view of modern logistics, the key functions of money

Boliang Lin, Ruixi Lin
Wiki Entities · 22
Crypto

Stablecoin

A stablecoin is a token that targets a peg, usually $1 — a money-market claim or an algorithmic hope, depending on the reserves.

CTA

Commodity Trading Advisor

A CTA is a manager — often CFTC/NFA registered — that runs client money in futures and options on futures, long and short, across rates, FX, equities, and commodities.

CTA

CTA Capacity and Market Limits

How much money a program can run before it is the market — position limits, ADV caps, and the point where adding AUM only buys slippage.

CTA

CTA Managed Account

Client money in a futures account the CTA trades by POA — transparency, better liquidation, and operational work versus a commingled fund.

CTA

CTA Mean Reversion

Fade stretched moves in futures over short horizons — the anti-trend sleeve that makes money in ranges and loses when a crisis trend persists.

CTA

Diversified CTA

A program that risks money across the four big futures groups — equity indices, bonds/STIR, FX, and commodities — rather than a single pit.

Derivatives

Delta

Delta is the first derivative of option value to the underlying — the hedge ratio and a moneyness label.

Derivatives

Moneyness

Moneyness is where spot sits versus strike — in, at, or out of the money — the first map of option value and of Greek shape.

Derivatives

Strike Price

The strike is the contract price at which an option can be exercised — the hinge of moneyness and of the payoff kink.

Economics

Gresham's Law

Gresham’s law is that bad money drives out good when both are legal tender at a fixed rate: the overvalued coin circulates, the undervalued one is hoarded or exported.

Economics

Liquidity Trap

A liquidity trap is a state where the policy rate is at or near the effective lower bound and extra money is hoarded rather than spent, so conventional rate cuts stop working.

Economics

Money Supply

Money supply is the measured stock of money — M0/MB, M1, M2 — a quantity that depends on what you count as money.

Economics

Quantity Theory of Money

The quantity theory is MV = PY: money times velocity equals nominal income. In the strong form, a one-off money increase raises prices one-for-one if V and Y are stable.

Economics

Seigniorage

Seigniorage is the real resources a sovereign (or a private issuer of money-like claims) obtains by issuing money whose production cost is below face value.

Equity

Diluted Shares

Diluted shares are the share count as if in-the-money options, convertibles, and other claims were exercised — the honest denominator for EPS and value.

Equity

Return on Invested Capital

ROIC is after-tax operating profit over invested capital — the unlevered return on the money actually in the business.

Financial Crises

Lehman Weekend 2008

Lehman weekend (13–15 September 2008) was the disorderly failure of a primary dealer — the moment a housing/credit crunch became a global run on counterparties and money funds.

Financial Crises

Mississippi Bubble 1720

John Law’s Mississippi Company and Banque Royale fused monetary expansion, colonial equity, and French public finance until 1720 — a state-run bubble that ended in a paper-money collapse.

Liquidity

FRA-OIS Spread

FRA-OIS spread measures the difference between interbank funding expectations and overnight indexed swap rates, often used as a gauge of banking and short-term funding stress.

Liquidity

Money Market Fund Assets

Money market fund assets track the amount of cash parked in short-term low-risk vehicles, providing insight into liquidity preference, deposit substitution, and defensive positioning.

Liquidity

Reverse Repo Facility Usage

Reverse Repo Facility usage shows how much cash is being parked at the Federal Reserve overnight and helps track reserve distribution, collateral demand, and system liquidity conditions.

Liquidity

SOFR

SOFR is the Secured Overnight Financing Rate, a key benchmark for U.S. dollar funding based on overnight Treasury repo transactions.

Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 19
CTA · Foundations

Commodity Trading Advisor

A CTA is a manager — often CFTC/NFA registered — that runs client money in futures and options on futures, long and short, across rates, FX, equities, and commodities.

CTA · Foundations

CTA Capacity and Market Limits

How much money a program can run before it is the market — position limits, ADV caps, and the point where adding AUM only buys slippage.

CTA · Foundations

CTA Managed Account

Client money in a futures account the CTA trades by POA — transparency, better liquidation, and operational work versus a commingled fund.

CTA · Foundations

CTA Mean Reversion

Fade stretched moves in futures over short horizons — the anti-trend sleeve that makes money in ranges and loses when a crisis trend persists.

Derivatives · Foundations

Delta

Delta is the first derivative of option value to the underlying — the hedge ratio and a moneyness label.

Equity · Foundations

Diluted Shares

Diluted shares are the share count as if in-the-money options, convertibles, and other claims were exercised — the honest denominator for EPS and value.

CTA · Foundations

Diversified CTA

A program that risks money across the four big futures groups — equity indices, bonds/STIR, FX, and commodities — rather than a single pit.

Economics · Foundations

Gresham's Law

Gresham’s law is that bad money drives out good when both are legal tender at a fixed rate: the overvalued coin circulates, the undervalued one is hoarded or exported.

Financial Crises · Foundations

Lehman Weekend 2008

Lehman weekend (13–15 September 2008) was the disorderly failure of a primary dealer — the moment a housing/credit crunch became a global run on counterparties and money funds.

Economics · Foundations

Liquidity Trap

A liquidity trap is a state where the policy rate is at or near the effective lower bound and extra money is hoarded rather than spent, so conventional rate cuts stop working.

Financial Crises · Foundations

Mississippi Bubble 1720

John Law’s Mississippi Company and Banque Royale fused monetary expansion, colonial equity, and French public finance until 1720 — a state-run bubble that ended in a paper-money collapse.

Liquidity · Foundations

Money Market Fund Assets

Money market fund assets track the amount of cash parked in short-term low-risk vehicles, providing insight into liquidity preference, deposit substitution, and defensive positioning.

Economics · Foundations

Money Supply

Money supply is the measured stock of money — M0/MB, M1, M2 — a quantity that depends on what you count as money.

Derivatives · Foundations

Moneyness

Moneyness is where spot sits versus strike — in, at, or out of the money — the first map of option value and of Greek shape.

Economics · Foundations

Quantity Theory of Money

The quantity theory is MV = PY: money times velocity equals nominal income. In the strong form, a one-off money increase raises prices one-for-one if V and Y are stable.

Equity · Foundations

Return on Invested Capital

ROIC is after-tax operating profit over invested capital — the unlevered return on the money actually in the business.

Economics · Foundations

Seigniorage

Seigniorage is the real resources a sovereign (or a private issuer of money-like claims) obtains by issuing money whose production cost is below face value.

Crypto · Foundations

Stablecoin

A stablecoin is a token that targets a peg, usually $1 — a money-market claim or an algorithmic hope, depending on the reserves.

Derivatives · Foundations

Strike Price

The strike is the contract price at which an option can be exercised — the hinge of moneyness and of the payoff kink.

Cards · 0
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