2020
DOI: 10.1016/j.physa.2019.122928
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A quantum model of supply and demand

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Cited by 27 publications
(23 citation statements)
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“…In the classic case, probabilities Ψ indicate the objective state of the game, and the weights combine these probabilities with the winners . The problem is that there is no punishment administered to the fact that nothing is unwinnable, what is known as influencing decisions [13][14][15][16]. Based on La Mura's theory of projected expected benefits, this can be done in a quantum system by choosing an observational U that would be a Hermitian operator where non-diagonal conditions are not zero.…”
Section: Possibilities Of Market Negotiation Modelling Using Spectrummentioning
confidence: 99%
“…In the classic case, probabilities Ψ indicate the objective state of the game, and the weights combine these probabilities with the winners . The problem is that there is no punishment administered to the fact that nothing is unwinnable, what is known as influencing decisions [13][14][15][16]. Based on La Mura's theory of projected expected benefits, this can be done in a quantum system by choosing an observational U that would be a Hermitian operator where non-diagonal conditions are not zero.…”
Section: Possibilities Of Market Negotiation Modelling Using Spectrummentioning
confidence: 99%
“…For simplicity, we can assume that the probability of a transaction occurring at a particular price is described by a normal distribution P(x) with mean μ and standard deviation σ, multiplied by a rate constant which reflects the total probability of a transaction. As seen in Orrell (2020a), it is possible to derive these parameters in terms of properties of the buyers and sellers, but for present purposes they are taken as given.…”
Section: Quantize Thismentioning
confidence: 99%
“…It can easily be generalized to multiple buyers and sellers, if we assume that each group is made up of identical agents. The result is a stochastic model, similar to the stochastic models of chemical kinetics used in systems biology (Orrell, 2020a). A more general approach, however, would be to simulate interactions between agents using a quantum agent-based model.…”
Section: Quantum Oscillationsmentioning
confidence: 99%
“…Relation of quantum-mechanical framework to stochastic approach is shown in [18][19], whose author takes the reverse approach to derive the financial Schrodinger equation from the traditional stochastics. In [20] the Schrodinger equation is used to explore price uncertainty within the spread by quantizing the potential created by buyers and sellers and leading to gradual change from underpriced state to overpriced as opposed to classical theory, where that boundary is sharp. Inclusion of microstructural dependencies leads to quantum formulation in [21] as well, as the authors model price evolution under linear market impact…”
Section: δ = −mentioning
confidence: 99%