We develop an agent-based model of the UK housing market to study the impact of macroprudential policy experiments on key housing market indicators. The heterogeneous nature of this model enables us to assess the effects of such experiments on the housing, rental and mortgage markets not only in...

Prediction Markets (PMs) are markets in which agents trade event contingent assets. Enterprises use PMs to forecast revenues and project deadlines. This paper presents an Agent-based model, called Logarithmic Market Scoring Rule-Automated Market Maker (LMSR-ASM), to evaluate Prediction Markets....

Compliance inspection is a detailed examination procedure for determining compliance of a particular person or organisation with the given set of provisions (in regulations, standards, business rules, etc.). The optimal selection of persons or organisations and provisions for inspection is one...

This supplementary file provides details in the proof of Theorem 3 in Section 3, an example of the stochastic process satisfying Assumptions 3 and 4, and proofs for the propositions and the lemma in Sections 3 and 6

Economic growth in agent- and general equilibrium-based models is the result of wage-led expansion or meta-time mechanisms. Such a modelling approach faces empirical and theoretical pitfalls. There is very little econometric and theoretical support for wage-led growth, while the market clearing...

We are interested in how the relationship between the fee in a constant product market (CPM) and the volatility of the swapped pair on other liquid exchanges influences the losses / gains of the liquidity providers. We review three classical market making models: Glosten and Milgrom, Kyle and...

Abstract. In this work we create a model for a competitive bond market where investors have heterogeneous beliefs regarding the issuers’ future income. The model takes any finite number N of bond issuers and a continuum of investors, exploring different ways in which they can be distributed....

This paper aims at studying the factors generating a number of stylized facts in financial markets using an Agents Based Model. In the presented model, agents individually set a buy/sell order according to both fundamentalist and chartist strategies. The weights given to the two strategies are...

The global energy crisis that began in fall 2021 and the following spike in energy price constitute a major challenge for the world economy which risks undermining the post-COVID-19 recovery. In this paper, we develop and validate a new macroeconomic agent-based model with an endogenous energy...

The aim of the paper is to analyze the role of real estate market as dirty money laundering channel for organized crime in Italy. We contribute to the economic literature on house price determinants, providing an agent based model to simulate the price determinants in Italian provincial capital....