Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
ANALYZING THE DYNAMICS OF KEY MACROECONOMIC INDICATORS – A SIMULATION APPROACH. / Vyunenko, L.F.; Vorontsovsky, A.V.
PROCEEDINGS OF THE ROW17 – REAL OPTION WORKSHOP: Lappeenranta, Finland, 04-05 октября 2017 г.. Lappeenranta University of Technology, 2017. p. 7-9.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - ANALYZING THE DYNAMICS OF KEY MACROECONOMIC INDICATORS – A SIMULATION APPROACH
AU - Vyunenko, L.F.
AU - Vorontsovsky, A.V.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - This paper proposes and explores a model for analyzing and forecasting the development of the economy, formalized as the Cauchy problem for a system of stochastic differential equations. The corresponding computational problem is solved numerically with the Euler-Maruyama method, the random variable being considered as discretized Brownian motion. Stochastic simulation for different scenarios is performed using MATLAB. The simulation results are illustrated with the examples of GDP trajectories for Finland.
AB - This paper proposes and explores a model for analyzing and forecasting the development of the economy, formalized as the Cauchy problem for a system of stochastic differential equations. The corresponding computational problem is solved numerically with the Euler-Maruyama method, the random variable being considered as discretized Brownian motion. Stochastic simulation for different scenarios is performed using MATLAB. The simulation results are illustrated with the examples of GDP trajectories for Finland.
KW - KEY MACROECONOMIC INDICATORS
KW - DYNAMIC MODELS
KW - STOCHASTIC SIMULATION
KW - MATLAB
UR - https://www.elibrary.ru/item.asp?id=35641348
M3 - Conference contribution
SN - 978-952-335-148-6
SP - 7
EP - 9
BT - PROCEEDINGS OF THE ROW17 – REAL OPTION WORKSHOP
PB - Lappeenranta University of Technology
T2 - ROW17 – REAL OPTION WORKSHOP
Y2 - 4 October 2017 through 5 October 2017
ER -
ID: 34933464