504 research outputs found
A Comparative Predicting Stock Prices using Heston and Geometric Brownian Motion Models
This paper presents a novel approach to predicting stock prices using
technical analysis. By utilizing Ito's lemma and Euler-Maruyama methods, the
researchers develop Heston and Geometric Brownian Motion models that take into
account volatility, interest rate, and historical stock prices to generate
predictions. The results of the study demonstrate that these models are
effective in accurately predicting stock prices and outperform commonly used
statistical indicators. The authors conclude that this technical analysis-based
method offers a promising solution for stock market prediction
Dielectric Permeability of Forestry Depending on Environmental Parameters in Radio Frequency Monitoring
Introduction. New approach to forestry monitoring is presented. The relevance of the study is caused by the need to improve the forest management system based of modern information technologies. The paper demonstrates radio frequency monitoring as a most effective solution using a network of radio-frequency devices. This system quickly tracks the movement of forest resources, detect forest fires at the beginning of smoke and perform other functions. Complex dielectric permittivity is one of the main parameters for the design and operation of the system. The usual statistical methods do not allow obtaining such permeability. Thus, the aim of the study is to find a functional dependence of the permittivity on the parameters of the forest environment based on fuzzy inference. Materials and Methods. Mathematical and fuzzy modeling are methods of theoretical research in this paper. In addition, methods of forest inventory and logging processes, information theory and signaling, mathematical statistics, and experimental theory were used to perform experimental studies on approbation of a radio frequency monitoring system and to verify the adequacy of the proposed fuzzy model. We used Fuzzy Logic Toolbox software with MatLab technical computing software as a tool for synthesis. Results. The dependence of the permittivity on the parameters of the forest environment based on fuzzy inference was obtained. Formally, the total complex dielectric constant Π΅ΠΊ of the forest area (canopy) and the values of the input quantities are determined as follows: Π΅ΠΊ = f (V, a), where V - volume fraction of i component of the forest environment (in real conditions, according to experimental data, is from 0 to 0,5); a - constant, taking into account the type of forest (from 0 to 0,5 - open area; from 0,5 to 1,5 - pine forest of standard height 25 m; from 1,5 to 2,5 - mixed forest; from 3,5 to 4,5 - birch grove; from 4,5 to 5,0 - spruce forest). A feature of the proposed approach is a discrete representation 149 ΠΠΠ‘Π’ΠΠΠ ΠΠΠ ΠΠΠΠ‘ΠΠΠΠ Π£ΠΠΠΠΠ Π‘ΠΠ’ΠΠ’Π Π’ΠΎΠΌ 28, β 2. 2018 of the forest environment as a sum of forest elements. This approach provides an accurate measure of the permittivity of the forest environment. Conclusions. The practical significance of the results lies in the possibility of creating an information support structure for an automated forest management system based on forestry monitoring. The proposed function of the permittivity of the forest area takes into account the main parameters of the forest environment, so it is sufficiently correct. This function is necessary for the design of radio frequency monitoring systems of forestry and allows us to implement a fundamentally new approach to solving the tasks of forest fund monitoring.ΠΠ²Π΅Π΄Π΅Π½ΠΈΠ΅. Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ° ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π°. ΠΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡΡ ΡΠΎΠ²Π΅ΡΡΠ΅Π½ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ Π»Π΅ΡΠΎΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ Π»Π΅ΡΠΎΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π° Π±Π°Π·Π΅ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ. Π‘Π°ΠΌΡΠΌ ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° Ρ ΠΏΠΎΠΌΠΎΡΡΡ ΡΠ΅ΡΠΈ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΡΠΎΡΠ½ΡΡ
(RFID) ΡΡΡΡΠΎΠΉΡΡΠ². Π’Π°ΠΊΠ°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎ ΠΎΡΡΠ»Π΅ΠΆΠΈΠ²Π°ΡΡ ΠΏΠ΅ΡΠ΅ΠΌΠ΅ΡΠ΅Π½ΠΈΡ Π»Π΅ΡΠΎΡΡΡΡΠ΅Π²ΡΡ
ΠΏΠΎΡΠΎΠΊΠΎΠ² Ρ ΡΠΎΡΠ½ΠΎΡΡΡΡ Π΄ΠΎ ΠΎΠ΄Π½ΠΎΠ³ΠΎ Π±ΡΠ΅Π²Π½Π°, Π²ΡΡΠ²Π»ΡΡΡ Π»Π΅ΡΠ½ΡΠ΅ ΠΏΠΎΠΆΠ°ΡΡ Π² ΡΠ°ΠΌΠΎΠΌ Π½Π°ΡΠ°Π»Π΅ Π·Π°Π΄ΡΠΌΠ»Π΅Π½ΠΈΡ ΠΈ Π²ΡΠΏΠΎΠ»Π½ΡΡΡ ΠΌΠ½ΠΎΠ³ΠΈΠ΅ Π΄ΡΡΠ³ΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΈ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Π°Ρ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ, ΠΏΠΎΠ»ΡΡΠΈΡΡ ΠΊΠΎΡΠΎΡΡΡ ΡΡΠ°Π΄ΠΈΡΠΈΠΎΠ½Π½ΡΠΌΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ Π½Π΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»ΡΠ΅ΡΡΡ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠΌ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, ΡΠ΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΠ΅ ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΠΎΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π°. ΠΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ. ΠΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΡΡ ΠΎΡΠ½ΠΎΠ²Ρ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠΎΡΡΠ°Π²ΠΈΠ»ΠΈ ΠΏΠΎΠ»ΠΎΠΆΠ΅Π½ΠΈΡ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΈ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ, Π° Π² ΡΠ°ΡΡΠΈ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Π»ΡΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΠΎ Π°ΠΏΡΠΎΠ±Π°ΡΠΈΠΈ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° ΠΈ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ Π°Π΄Π΅ΠΊΠ²Π°ΡΠ½ΠΎΡΡΠΈ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΠΈΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ Π»Π΅ΡΠ½ΠΎΠΉ ΡΠ°ΠΊΡΠ°ΡΠΈΠΈ, ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π»Π΅ΡΠΎΠ·Π°Π³ΠΎΡΠΎΠ²ΠΎΠΊ, ΡΠ΅ΠΎΡΠΈΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΡΠΈΠ³Π½Π°Π»ΠΎΠ², ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ, ΡΠ΅ΠΎΡΠΈΠΈ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. Π‘ΠΈΠ½ΡΠ΅Π· Π½Π΅ΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ Π±ΡΠ» Π²ΡΠΏΠΎΠ»Π½Π΅Π½ ΡΡΠ΅Π΄ΡΡΠ²Π°ΠΌΠΈ Fuzzy Logic Toolbox ΠΏΡΠΈΠ»ΠΎΠΆΠ΅Π½ΠΈΡ MATLAB. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠ»Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Π° Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΡ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΠΎΡ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π²ΡΠ²ΠΎΠ΄Π°. Π€ΠΎΡΠΌΠ°Π»ΡΠ½ΠΎ ΡΡΠΌΠΌΠ°ΡΠ½Π°Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½Π°Ρ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ Π΅ΠΊ ΡΡΠ°ΡΡΠΊΠ° Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ (ΠΏΠΎΠ»ΠΎΠ³Π°) ΠΈ Π·Π½Π°ΡΠ΅Π½ΠΈΡ Π²Ρ
ΠΎΠ΄Π½ΡΡ
Π²Π΅Π»ΠΈΡΠΈΠ½ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΡΡΡΡ ΡΠ»Π΅Π΄ΡΡΡΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ: Π΅ΠΊ = f (V, Π°), Π³Π΄Π΅ V - ΠΎΠ±ΡΠ΅ΠΌΠ½Π°Ρ Π΄ΠΎΠ»Ρ Π³'-Π³ΠΎ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ° Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ (Π² ΡΠ΅Π°Π»ΡΠ½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
, ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°, - ΠΎΡ 0 Π΄ΠΎ 0,5); Π° - ΠΊΠΎΠ½ΡΡΠ°Π½ΡΠ°, ΡΡΠΈΡΡΠ²Π°ΡΡΠ°Ρ Π²ΠΈΠ΄ Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΠΌΠ°ΡΡΠΈΠ²Π° (ΠΎΡ 0 Π΄ΠΎ 0,5 - ΠΎΡΠΊΡΡΡΡΠΉ ΡΡΠ°ΡΡΠΎΠΊ; ΠΎΡ 0,5 Π΄ΠΎ 1,5 - ΡΠΎΡΠ½ΠΎΠ²ΡΠΉ Π±ΠΎΡ ΡΡΠ°Π½Π΄Π°ΡΡΠ½ΠΎΠΉ Π²ΡΡΠΎΡΡ 25 ΠΌ; ΠΎΡ 1,5 Π΄ΠΎ 2,5 - ΡΠΌΠ΅ΡΠ°Π½Π½ΡΠΉ Π»Π΅Ρ; ΠΎΡ 3,5 Π΄ΠΎ 4,5 - Π±Π΅ΡΠ΅Π·ΠΎΠ²Π°Ρ ΡΠΎΡΠ°; ΠΎΡ 4,5 Π΄ΠΎ 5,0 - Π΅Π»ΡΠ½ΠΈΠΊ). ΠΠ»Π°Π²Π½ΠΎΠ΅ ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎΠΌ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠΈ Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ ΠΊΠ°ΠΊ ΡΡΠΌΠΌΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠΎΠ² Π»Π΅ΡΠ°. Π’ΠΎΠ»ΡΠΊΠΎ ΡΠ°ΠΊΠΎΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°Π΅Ρ ΡΠΎΡΠ½ΠΎΠ΅ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΠ΅ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ. Β© ΠΠΎΠ±Π΅Π΄ΠΈΠ½ΡΠΊΠΈΠΉ Π. Π., ΠΠ°Π·ΠΈΠ·ΠΎΠ² Π. Π., Π‘Π°Π½Π½ΠΈΠΊΠΎΠ² Π‘. Π., ΠΠΎΠ±Π΅Π΄ΠΈΠ½ΡΠΊΠΈΠΉ Π. Π., 2018 148 Vol. 28, no. 2. 2018_MORDOVIA UNIVERSITY BULLETIN ΠΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΈ Π·Π°ΠΊΠ»ΡΡΠ΅Π½ΠΈΡ. Π ΡΡΠ°ΡΡΠ΅ Π²ΠΏΠ΅ΡΠ²ΡΠ΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½ ΡΠ΅ΠΎΡΠ΅ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΎΡΠ΅Π½ΠΊΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ, ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Π½ΠΎΠΉ Π΄ΠΈΡΠΊΡΠ΅ΡΠ½ΠΎ, Π° Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π° Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π½Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ. ΠΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΡΠΈΠΌΠ΅Π½ΠΈΠΌΠΎΡΡΡ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² Π·Π°ΠΊΠ»ΡΡΠ°Π΅ΡΡΡ Π² Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΡΡΡΠΊΡΡΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ Π°Π²ΡΠΎΠΌΠ°ΡΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ Π»Π΅ΡΠΎΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈ Π»Π΅ΡΠΎΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ Π½Π° Π±Π°Π·Π΅ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π°. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Π°Ρ ΡΡΠ½ΠΊΡΠΈΡ Π΄ΠΈΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠ½ΠΈΡΠ°Π΅ΠΌΠΎΡΡΠΈ ΡΡΠ°ΡΡΠΊΠ° Π»Π΅ΡΠ° ΡΡΠΈΡΡΠ²Π°Π΅Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ Π»Π΅ΡΠ½ΠΎΠΉ ΡΡΠ΅Π΄Ρ ΠΈ ΡΠ²Π»ΡΠ΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎ ΠΊΠΎΡΡΠ΅ΠΊΡΠ½ΠΎΠΉ ΠΠ½Π° Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠ° Π΄Π»Ρ ΠΏΡΠΎΠ΅ΠΊΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ ΡΠ°Π΄ΠΈΠΎΡΠ°ΡΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π° ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΠ΅Π°Π»ΠΈΠ·ΠΎΠ²Π°ΡΡ ΠΏΡΠΈΠ½ΡΠΈΠΏΠΈΠ°Π»ΡΠ½ΠΎ Π½ΠΎΠ²ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π·Π°Π΄Π°Ρ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π»Π΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΠ½Π΄Π°
Corporate financing decisions under ambiguity : pecking order and liquidity policy implications
This paper addresses the following unresolved questions fromthe perspective of ambiguity theory: Why do some
firms issue equity instead of debt?Why did most firms retain their cash holdings instead of distributing themas
dividends in recent times? How do firms change their financing policies during a period of severe financial constraints and ambiguity, orwhen facing the threat of an unpredictable financial crisis? We analyze how the values
of the firm's equity and debt are affected by ambiguity. Wealso showthat cash holdings are retained longer if the
investors' ambiguity aversion bias is sufficiently large,while cash holdings become less attractivewhen the combined
impact of ambiguity and ambiguity aversion is relatively low
Cash holdings and financing decisions under ambiguity
This paper addresses the following unresolved questions: Why do some firms issue equity instead of debt? Why did most firms retain their cash holdings instead of distributing them as dividends in recent times? How do firms change their financing policies during a period of severe financial constraints and ambiguity, or when facing the threat of an unpredictable financial crisis? We analyze how the values of the firmβs equity and debt are affected by ambiguity. We also show that cash holdings are retained longer if the investorsβ ambiguity aversion bias is sufficiently large, while cash holdings become less attractive when the combined impact of ambiguity and ambiguity aversion is relatively low
An analysis of the use of discounted cash flow methods and real options to value flexibility in real estate development projects
Includes abstract.Includes bibliographical references (leaves 68-71).Surveys of firms outside the property sector indicate the growth in the use of DCF methods such as the NPV and IRR methods to evaluate projects as compared to the use of such naΓ―ve methods as Payback and the Accounting rate of return. The growing convergence of theory and practice is indicated by the growing use of the NPV method. The objective of this study is to determine the capital budgeting methods used to evaluate real estate development projects and to compare the results of a survey with the results of other studies. Further, recent developments in capital budgeting theory, indicate that the investment valuation tools such as the Net Present Value (NPV), Internal Rate of Return (lRR), Payback Period (PP), and theAccounting Rate of Return (ARR) may fail to recognize flexibilities in real estate development projects. As a consequence, the discounted cash flow methods (DCF) may systematically undervalue strategic or large-scale real estate development projects. Two methods are introduced as an alternative to address the weaknesses of the DCF methods. Decision Tree Analysis (DTA) employs an approach to analyse flexibilities by creating a chain of possible options and allows alternative courses of action for management to adapt their initial strategies in order to capitalise on new opportunities or to minimise losses. Real Option Analysis (ROA) introduces the theory of valuing financial derivates, in particular call options, and allows the staging of the development. These instruments further introduce a risk management aspect, as call options have a limited down side and an unlimited upside. Each approach has advantages and shortcomings and should only be used in appropriate circumstances. DTA is suited for the analysis of the project specific risks. ROA on the other hand, is a superior tool when dealing with uncertainty. The thesis finds that that over 90% of all respondents are using a combination of NPV and IRR methods most often to evaluate development opportunities. Interestingly, 85% of all respondents are also using the payback period. Other methods used are the profitability index, residual value, free cash flow, economic value, and return on equity. Developers have adopted DCF methods such as NPV and IRR as the primary methods to evaluate projects rather than naΓ―ve methods such as Payback and ARR, although these latter methods remain in use. The use of decision tree analysis and real option analysis is very limited
Flexibility Value of Distributed Generation in Transmission Expansion Planning
The efficiency of the classic planning methods for solving realistic problems largely relies on an accurate prediction of the future. Nevertheless, the presence of strategic uncertainties in current electricity markets has made prediction and even forecasting essentially futile. The new paradigm of decision-making involves two major deviations from the conventional planning approach. On one hand, the acceptation the fact the future is almost unpredictable. On the other hand, the application of solid risk management techniques turns to be indispensable. In this chapter, a decision-making framework that properly handles strategic uncertainties is proposed and numerically illustrated for solving a realistic transmission expansion planning problem. The key concept proposed in this chapter lies in systematically incorporating flexible options such as large investments postponement and investing in Distributed Generation, in foresight of possible undesired events that strategic uncertainties might unfold. Until now, the consideration of such flexible options has remained largely unexplored. The understanding of the readers is enhanced by means of applying the proposed framework in a numerical mining firm expansion capacity planning problem. The obtained results show that the proposed framework is able to find solutions with noticeably lower involved risks than those resulting from traditional expansion plans.Fil: VΓ‘squez, PaΓΊl. Consejo Nacional de Electricidad; EcuadorFil: Olsina, Fernando Gabriel. Consejo Nacional de Investigaciones CientΓficas y TΓ©cnicas. Centro CientΓfico TecnolΓ³gico Conicet - San Juan. Instituto de EnergΓa ElΓ©ctrica. Universidad Nacional de San Juan. Facultad de IngenierΓa. Instituto de EnergΓa ElΓ©ctrica; Argentin
Risk Management for the Future
A large part of academic literature, business literature as well as practices in real life are resting on the assumption that uncertainty and risk does not exist. We all know that this is not true, yet, a whole variety of methods, tools and practices are not attuned to the fact that the future is uncertain and that risks are all around us. However, despite risk management entering the agenda some decades ago, it has introduced risks on its own as illustrated by the financial crisis. Here is a book that goes beyond risk management as it is today and tries to discuss what needs to be improved further. The book also offers some cases
Techno-economic valuation of mobile communications scenarios
Valuation of large projects on new communications technologies is a challenging task. Major investments are required to spread out technology and services, the characteristics of which are still largely unknown. A balanced view is needed on capabilities of the technologies, market demand, and relevant value network actors and their economies. In this dissertation, comprehensive techno-economic modelling of these aspects will be introduced for valuation of selected business scenarios. The research framework is mobile data services and business architectures in the advent of new technologies, like UMTS (Universal Mobile Telecommunications System), WLAN (Wireless Local Area Network) and WiMAX (Worldwide Interoperability for Microwave Access). The techno-economic method in this context comprises the modelling of a large set of technology, market and other factors in relation to the business operations of the analysed market actors. The many uncertainties concerning future service innovations and market development set demands on scenario creation and parameter estimation. Traditional techno-economic investment project calculation is not enough.
This study gives devices for strategic decision making by analysing three different technology transitions: The modelling of Western-European incumbent operator business starting from the early 2000's indicated that the UMTS deployment should be started without delay to maximise the long-term profits from the acquired licenses, contrary to looking for short-term investment payoffs that was prevalent after the telecommunications downturn. Results also show that the emerging WLAN technology would not become a substitute for UMTS, but the public WLAN will complement the UMTS based business architecture. Modelling of the upcoming mobile WiMAX in comparison to UMTS path indicated that the mobile WiMAX cannot challenge the UMTS, as the latter one offers a better business case for the key actors. In the last transition, techno-economic delta analysis was used to quantify the benefits from the fixed-mobile convergence.
The main enhancements to the techno-economic method are first the extensive classification of advanced mobile services and related modelling of service diffusion, usage patterns, capacity requirements and revenues. The second contribution is to improve the analysis of service usage in relation to technology characteristics by integrating an end-user model that gives the demand and revenue potential of each service type, per user segment and utilised technology. A novelty is also the separation of network provisioning and service provisioning part of the business architecture into separate but interlinked models. The fourth contribution to the method is the application of real options method on large communications technology deployment projects, solving option modelling problems due to the complex dependencies of the project value on the investment timing. The introduced method starts from ordinary expected cash flow valuation, but adds to that the option value related to specific flexibility in the project
Modelling the ecological, behavioural and perceptual dimensions of outdoor recreation, using Loch Lomond as a case study
A variety of econometric models have been created, including a travel cost model, contingent behaviour models and a contingent valuation model. Based on these models a βtypicalβ day at Loch Lomond is valued at Β£20.53, with visitors willing to pay an additional Β£1.76 to fund environmental improvements. Looking at the particular environmental issues of noise, crowding and environmental damage, noise pollution appears to have the greatest influence on recreation enjoyment. Noise pollution is caused primarily by the use of personal watercraft (βjet-skisβ). It was found that an asymmetrical conflict exists between jet-skiers and non jet-skiers.
The research project reveals that there is no simple relationship between the perception of and reality of environmental damage. Although visitor perception of environmental damage often differs from actual levels of environmental damage, the relationship is complex. In terms of βrealβ environmental impact around the loch area, the visitor-induced environmental damage survey estimates that just over 9% of the loch shore suffers from severe environmental impact. Ecological vegetation surveys also confirm that recreation pressure is a statistically significant influence on the presence/absence of plant communities, but that this ecological impact is spatially limited to specific sites around the loch.
Following on from both the perceptual and ecological results, policy and management implications are investigated and recommendations are provided β for example the implementation of a possible vehicle parking fee at various sites around Loch Lomond. It is suggested that recreational carrying capacity frameworks such as VERP should be applied, as they assimilate the ecological and social facets of outdoor recreation. An overall conclusion to the thesis is thus that a sustainable approach (framework) to recreation management, one that encompasses the perceptual and ecological dimensions of outdoor recreation, is the only way of maintaining the beauty and enjoyment of Loch Lomond β and, it is suggested, national parks world-wide β for present and future generations
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