PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 2, 20260 citationsOpen Access

Asset Price Stability Analysis in Sparse Portfolios Under the Transactional Asset Pricing Approach

View Full Paper
AAAndrey Igorevich ArtemenkovASAlessandro Saccal

Key Points

  • The central aim is to analyze asset price stability in portfolios with size constraints and low liquidity using the TAPA.
  • Employed numerical simulations of the TAPA algorithm.
  • Developed stability conditions for valuation convergence.
  • Utilized log-linearisation about steady state variables.
  • Analyzed stability at local levels in both continuous and discrete time.
  • Established the analytical existence of stability conditions for up to four assets.
  • Demonstrated stability for any positive time period.
  • Presented a solution for benchmark calibration using single asset parameters.

Abstract

The Transactional Asset Pricing Approach (TAPA) is able to handle asset valuations on a portfolio level of size constrained markets against the backdrop of low liquidity hindering the estimation of the variance of returns. Prompted by a numerical simulation of the TAPA algorithm, we develop stability conditions associated with the valuation convergence for any maximal positive time period and positive number of assets. We present stability conditions at the local level, both in continuous and discrete algorithmic time, and we develop them by means of log-linearisation about the steady state of its equations’ variables. We conclude on the analytical existence of stability conditions at the local level up to four assets and any positive time period. We adduce analytical applications within such a region and present a solution for a benchmark calibration of the steady state parameters given two time periods and a single asset.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Artemenkov et al. (2026) studied this question.

synapsesocial.com/papers/69a52f63f1e85e5c73bf2454https://doi.org/10.3390/math14050815
Ask AI
Helpful
Bookmark
Share
View Full Paper