In this article we analyze the remuneration mechanism for the reduction of energy losses, through a dynamic principal-agent model in continuous time. The agent represents the power distribution company, which makes investments, or in other words, makes an effort to reduce energy losses. The...

In this article we analyze the remuneration mechanism for the reduction of energy losses, through a dynamic principal-agent model in continuous time. The agent represents the power distribution company, which makes investments, or in other words, makes an effort to reduce energy losses. The...

Abstract Given a risk outcome y over a rating system {R_i }_(i=1)^k for a portfolio, we show in this paper that the maximum likelihood estimates with monotonic constraints, when y is binary (the Bernoulli likelihood) or takes values in the interval 0≤y≤1 (the quasi-Bernoulli likelihood), are...

This paper studies the effects of P/E ratio and M/B ratio on stock return of listed firms with Karachi Stock Exchange in the Textile sector of Pakistan. A total of 30 major firms out of 162 in the textile sector listed with the Karachi Stock Exchange for the period of 2001-2006 were selected on...

This paper investigates whether foreign institutional investors in emerging markets can enhance shareholder value. We pay special attention to two dimensions of investor heterogeneity: whether an investor declares itself as an activist, and whether an investor comes from a country with a strong...

This paper shows that the notion of rate of return is best understood through the lens of the average-internal-rate-of-return (AIRR) model, first introduced in Magni (2010a). It is an NPV-consistent approach based on a coherent definition of rate of return and on the notion of Chisini mean, it...

We propose a portfolio construction method that accounts for the regime-dependent behavior of stocks, thereby impacting their expected returns. Using a hidden Markov model (HMM) and a regime-weighted least-squares approach, we estimate forward-looking regime-conditional factors. These factors...

Amid the controversies around the optimisation criteria and the objective functions when applying mathematical methods in economics, we proposed a method of quantifying a multi-criteria optimum, called critical distance method. The demonstration of this method is exemplified by assessing the...

In this paper, we propose multi-stage stochastic linear programming for asset-liability management under time-varying investment opportunities. We use a first-order unrestricted vector autoregressive process to model predictability in the asset returns and the state variables, where - additional...

In this paper, we propose multi-stage stochastic linear programming for asset-liability management under time-varying investment opportunities. We use a first-order unrestricted vector autoregressive process to model predictability in the asset returns and the state variables, where - additional...