Purpose: This paper aims to perform an analytical analysis on portfolio allocation when a tracking error volatility (TEV) constraint holds, drawing specific attention to the portfolio efficiency issue. Indeed, it is well known that investors can assign part of their funds to asset managers who...

The risk management department usually imposes to asset managers a maximum value of the tracking error volatility (TEV), but it does not establish a rule on TEV to understand whether portfolio managers are active. Analytical methods are derived to understand whether the asset allocation is...

In this paper we analyze the network structure that endogenously emerges in the credit market of the agent-based model of Riccetti et al. (2011), where two kinds of financial accelerators are at work: the “leverage accelerator” and the “network-based accelerator”. We focus on the...

In this paper we build on the network-based financial accelerator model of Delli Gatti et al. (2010), modelling the firms' financial structure following the “dynamic trade-off theory”, instead of the “packing order theory”. Moreover, we allow for multiperiodal debt structure and consider...

Many authors have suggested that the mean-variance criterion, conceived by Markowitz (The Journal of Finance 7(1):77–91, <CitationRef CitationID="CR40">1952</CitationRef>), is not optimal for asset allocation, because the investor expected utility function is better proxied by a function that uses higher moments and because returns are...</citationref>

Asset managers are often given the task of restricting their activity by keeping both the value at risk (VaR) and the tracking error volatility (TEV) under control. However, these constraints may be impossible to satisfy simultaneously because VaR is independent of the benchmark portfolio. The...