activity
20182022
most citedForecasting interest rates through Vasicek and CIR models: a partitioning approach

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

q-fin.PM2022

Straightening skewed markets with an index tracking optimizationless portfolio

Daniele Bufalo, Michele Bufalo, Francesco Cesarone +1

Among professionals and academics alike, it is well known that active portfolio management is unable to provide additional risk-adjusted returns relative to their benchmarks. For t…

q-fin.MF2022

Stochastic Local Volatility models and the Wei-Norman factorization method

Julio Guerrero, Giuseppe Orlando

In this paper, we show that a time-dependent local stochastic volatility (SLV) model can be reduced to a system of autonomous PDEs that can be solved using the Heat kernel, by mean…

q-fin.CP20191 cited

Forecasting interest rates through Vasicek and CIR models: a partitioning approach

Giuseppe Orlando, Rosa Maria Mininni, Michele Bufalo

The aim of this paper is to propose a new methodology that allows forecasting, through Vasicek and CIR models, of future expected interest rates (for each maturity) based on rollin…

q-fin.GN2018

Challenges in approximating the Black and Scholes call formula with hyperbolic tangents

Michele Mininni, Giuseppe Orlando, Giovanni Taglialatela

In this paper we introduce the concept of standardized call function and we obtain a new approximating formula for the Black and Scholes call function through the hyperbolic tangen…

q-fin.CP2018

On The Calibration of Short-Term Interest Rates Through a CIR Model

Giuseppe Orlando, Rosa Maria Mininni, Michele Bufalo

It is well known that the Cox-Ingersoll-Ross (CIR) stochastic model to study the term structure of interest rates, as introduced in 1985, is inadequate for modelling the current ma…