Note on ranking fuzzy triangular numbers G Facchinetti, RG Ricci, S Muzzioli International Journal of Intelligent Systems 13 (7), 613-622, 1998 | 292 | 1998 |
Fuzzy linear systems of the form A1x+ b1= A2x+ b2 S Muzzioli, H Reynaerts Fuzzy Sets and Systems 157 (7), 939-951, 2006 | 129 | 2006 |
A multiperiod binomial model for pricing options in a vague world S Muzzioli, C Torricelli Journal of Economic Dynamics and Control 28 (5), 861-887, 2004 | 121 | 2004 |
American option pricing with imprecise risk-neutral probabilities S Muzzioli, H Reynaerts International Journal of Approximate Reasoning 49 (1), 140-147, 2008 | 62 | 2008 |
How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study FG Caloia, A Cipollini, S Muzzioli Energy Economics 84, 104536, 2019 | 58 | 2019 |
A comparison of fuzzy regression methods for the estimation of the implied volatility smile function S Muzzioli, A Ruggieri, B De Baets Fuzzy Sets and Systems 266, 131-143, 2015 | 55 | 2015 |
Option-based forecasts of volatility: an empirical study in the DAX-index options market S Muzzioli The European Journal of Finance 16 (6), 561-586, 2010 | 55 | 2010 |
The solution of fuzzy linear systems by non-linear programming: a financial application S Muzzioli, H Reynaerts European Journal of Operational Research 177 (2), 1218-1231, 2007 | 52 | 2007 |
Fuzzy approaches to option price modeling S Muzzioli, B De Baets IEEE Transactions on Fuzzy Systems 25 (2), 392-401, 2016 | 46 | 2016 |
Enhanced long term microcircuit plasticity in the valproic acid animal model of autism GT Silva, JV Le Bé, I Riachi, T Rinaldi, K Markram, H Markram Frontiers in synaptic neuroscience 1, 465, 2009 | 46 | 2009 |
Asymmetric semi-volatility spillover effects in EMU stock markets FG Caloia, A Cipollini, S Muzzioli International Review of Financial Analysis 57, 221-230, 2018 | 39 | 2018 |
Moment risk premia and the cross-section of stock returns in the European stock market E Elyasiani, L Gambarelli, S Muzzioli Journal of Banking & Finance 111, 105732, 2020 | 37 | 2020 |
A model for pricing an option with a fuzzy payoff S Muzzioli, C Torricelli MATERIALI DI DISCUSSIONE, 1998 | 36 | 1998 |
The forecasting performance of corridor implied volatility in the Italian market S Muzzioli Computational Economics 41, 359-386, 2013 | 30 | 2013 |
A comparative assessment of different fuzzy regression methods for volatility forecasting S Muzzioli, B De Baets Fuzzy Optimization and Decision Making 12, 433-450, 2013 | 27 | 2013 |
The information content of option-based forecasts of volatility: Evidence from the Italian stock market S Muzzioli The Quarterly Journal of Finance 3 (01), 1350005, 2013 | 23 | 2013 |
Volatility co-movements: A time-scale decomposition analysis A Cipollini, IL Cascio, S Muzzioli Journal of Empirical Finance 34, 34-44, 2015 | 21 | 2015 |
Implied trees in illiquid markets: a Choquet pricing approach S Muzzioli, C Torricelli International journal of intelligent systems 17 (6), 577-594, 2002 | 21 | 2002 |
On the no-arbitrage condition in option implied trees V Moriggia, S Muzzioli, C Torricelli European Journal of Operational Research 193 (1), 212-221, 2009 | 18 | 2009 |
The skewness index: uncovering the relationship with volatility and market returns E Elyasiani, L Gambarelli, S Muzzioli Applied Economics 53 (31), 3619-3635, 2021 | 17 | 2021 |