!" 51-7 .!. "#$#%&'#, (.). *+,-./0# !"#$%&' ()*&+(),-(.' &$$,!/+0)1!,-$%&' 2+,&1!3(&4!$%&' 5(&0!"$&1!1, !"#-, 6+$$&7 12"3456 7*8 9"*:(5 5 7;5< " "5 ! 9)=)> *7(5<59)455 5"! :(545*""*?* 7*;(1 86 6)$$#)1"&0)!1$7 2+/3+/ % 8+"#&"+0)(&9 +21&#),-(+:+ 2+"18!,7 &(0!$1&*&', +$(+0)((.' () 85(%*&& 2+,!;(+$1&. "& <1+# 85(%*&7 54&1.0)!1 +1(+=!(&! &(0!$1+") % "&$%5. 6)$$#)1"&0)!1$7 1"& +$(+0(.3 1&2) 85(%*&' 2+,!;(+$1& &(0!$1+") 0 ;)0&$&#+$1& +1 &3 +1(+=!(&7 % "&$%5: 85(%*&7 2+,!;(+$1& /,7 +$1+"+>(+:+ &(0!$1+"), /,7 "&$%+0)((+:+ & (!'1"),-(+ +1(+$7?!:+$7 % "&$%5 &(0!$1+"). +$1"+!(()7 #+/!,- 8+"#&"+0)(&7 &(0!$1&*&+((+:+ 2+"18!,7 2"+0!"7!1$7 () )/!%0)1(+$1- & 2"&#!(&#+$1- () 2")%1&%! /,7 &(0!$1&"+0)(&7. 3@A-,'B, +@&'#: 2+"18!,-(.! &(0!$1&*&&, 85(%*&7 2+,!;(+$1&, +>&/)!#)7 /+3+/(+$1-, "&$%, /+3+/(+$1-. E.V. Nazarova, T.A. Osechkina Perm National Research Politechnic University, Perm, Russia THE UTILITY FUNCTION AND ITS APPROACH TO THE FORMATION OF AN OPTIMAL PORTFOLIO This article discusses an approach to the formation of an optimal portfolio based on the utility function. The function takes into account the investor's attitude to risk. We consider three basic types of utility functions depending on the investor's attitude to risk: the utility function for the cautious investor, for risk neutral and risk-related. The constructed model of the investment portfolio is checked for adequacy and applicability in practice for investment. Keywords: portfolio investment, utility function, expected return, risk, profitability. #$%&'()*+,( -+.(/&-0-- – 1&$ .)$2(+-3 /%(4/&. . 0(++,( 56789- %8:)-;+,< =$7>8+-? 4)3 >$)6;(+-3 >%-5,)-. #$%&'()*+,( -+.(/&-0-- >%(4/&8.)3@& /$5$? >8//-.+$( .)84(+-( 0(++,7- 5678987%8:)-;+,< =$7>8+-?, =$&$%,( - '$%7-%6@& >$%&'()* -+.(/&$%8. 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( av - , 2 2. 12 0 0 1 >$)6;8(7 $2-48(76@ >$)(:+$/&* /)(46@B(9$ .-48: 129 2 * ( x ( (v ( a.2 )) 2 + 1 *1 2 2 + EU1 ( P( y )) 1 ( exp , a . ( av - 3 exp , ( -dx 2.2 2/. 12 0 (2 0 1 *1 + *1 + 1 ( exp , a 2.2 ( av - 1 ( exp , a 2 yTVy ( ayT m -. 12 0 12 0 C&/@48 .-4+$, ;&$ 78=/-7-:80-3 EU1(P(y)) 1=.-.8)(+&+8 7-+-7-:80-- '6+=0-g1 ( y ) 1 2 T a y Vy ( ayT m,)) y $ Ln . 2 !)3 %-/=$.8++$9$ - +(?&%8)*+$9$ = %-/=6 -+.(/&$%8 >$)6;8(7 /$$&.(&/&.(++$ /)(46@B-( '6+=0-$+8),: g2 ( y) 1 2 T a y Vy ! ayT m # max,)) y $ Ln , 2 g3 ( y ) y T m # max,)) y $ Ln . A85)-08 1 C2-48(783 4$<$4+$/&* - 4-/>(%/-3 "$7>8+-3 I5(%58+= P8:>%$7 HAE RSI T "CUT N$%+-=()* F$/+('&* I(.(%/&8)* I6%96&+('&(98: m, % 0,31 0,12 0,25 0,29 0,12 0,26 0,14 0,19 0,17 . 2 ,)4 0,13 0,06 0,11 0,20 0,06 0,11 0,07 0,04 0,06 !)3 >%$.(%=- >%-7(+(+-3 7$4()- 4)3 $>&-7-:80-- -+.(/&-0-$++,< >$%&'()(? 5,)- .,4()(+, =%6>+(?J-( =$7>8+--, $=8:,.8@B-( +8-5$)*J(( .)-3+-( +8 /$/&$3+-( %,+=8 . 0()$7 - .=)@;8(7,( . -+4(=/ FAI. N8 $/+$.( 48++,< $ &$%98< :8 2009 - 2010 99. 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"$1''-0-- H(%$3&+$- $2-48(7$? $2-48(7$? 7$? >$(+& .8%-8- /&+83 7$- >$)(:+$/&- >$)(:+$/&"$7>8+-3 =%-&(%-? )(:+$/&=8;(/&.8 5()*+$/&4()* / =$1'. / =$1'. / =$1'. a = 0,5 a = 0,2 a = 0,7 I5(%58+= 0 0 0,232827 0,9534 0,7058 0,5988 P8:>%$7 0 0 0 0 0 0 HAE 0,202 0,13965618 0,307243 0 0 0 RSI 0,048 0,00192101 0 0,0466 0,222 0,2215 T "CUT 0,245 0,13536371 0,139096 0 0 0 N$%+-=()* 0,177 0,09760164 0 0 0,0722 0,2215 F$/+('&* 0,002 0 0 0 0 0 132 C=$+;8+-( &85). 3 G$4()* G$4()* G$4()* $2-48(Y44-&-.+,? "$1''-0-- H(%$3&+$- $2-48(7$? $2-48(7$? 7$? >$(+& .8%-8- /&+83 7$- >$)(:+$/&- >$)(:+$/&"$7>8+-3 =%-&(%-? )(:+$/&=8;(/&.8 5()*+$/&4()* / =$1'. / =$1'. / =$1'. a = 0,2 a = 0,5 a = 0,7 I(.(%/&8)* 0,152 0,45280537 0,319933 0 0 0 I6%96+('0,173 0,17265209 0 0 0 0 &(98: !CVC!0,018872718 –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– 1995. – A. 31, .,>. 1. – I. 138–150. 2. A-+3=$.8 H.D., F8&6J+83 R.Y. F8/J-%(++,? 8+8)-: -+.(/&-0-$++,< .$:7$2+$/&(? >%- '$%7-%$.8+-- >$%&'()3 0(++,< 56789 // I$.%(7(++83 1=$+$7-=8: >%$5)(7, - %(J(+-3. – 2010. – H,>. 5. – I. 143–152. 3. N-=$+$.-; N.N. G$4()-%$.8+-( - $>&-7-:80-3 >$%&'()*+,< -+.(/&-0-? . /&$<8/&-;(/=-< +(/&80-$+8%+,< 6/)$.-3< // D+/&%67(+&8)*+,( 7(&$4, 1=$+$7-=-. – 2010. – [ 3. 4. Markowitz H. Portfolio selection // Journal of Finance. – 1952. – March. – P. 77–91. 5. Markowitz H. Mean – Variance Analysis in Portfolio Choice and CapitalMarkets. – Cambridge, Massachusetts: Blackwell, 1990. 6. \-+87, 1=/>$%& =$&-%$.$=. – URL: http://www.finam.ru/analysis/export/default.asp. 133 7. T$6)- !., G8=/.()) Y. \8=&$%+,? 8+8)-: =8= /&8&-/&-;(/=-? 7(&$4. – G.: G-%, 1967. 8. T$&$. Y.H., #$/>()$.8 D.D. G+$9$=%-&(%-8)*+,( :848;- >%-+3&-3 %(J(+-?. – G.: GY"I #%(//, 2008. – 197/. 9. ]()$58(. I.D. 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Journal of Finance, 1952, March, pp. 77–91. 5. Markowitz H. Mean – Variance Analysis in Portfolio Choice and CapitalMarkets. Cambridge, Massachusetts: Blackwell, 1990. 6. Finam, jeksport kotirovok, available at: http://www.finam.ru/analysis/export/default.asp. 7. Lawley D., Maxwell A. Factor analysis as a statistical method. Moscow: Mir, 1967, 141 p. 8. Lotov A.V., Pospelova I.I. Mnogokriterial'nye zadachi prinjatija reshenij [Multicriterion problems of decision-making]. Moscow: MAKS Press, 2008, 197 %. 9. Shelobaev S.I. Matematicheskie metody i modeli v jekonomike, finansah, biznese [Mathematical methods and models in economy, finance, business]. Moscow: JuNITI-DANA, 2001, 367 p. #$)6;(+$ 28.09.2012 134 6.*7*"%& ! "#$ %"& '"("% #" )*+," -*"./0/% #," ( !"#$, %&''()) – '*+,!-*./ ./0!,"1 2"(.3/,-&4 #/*!#/*(.( !"#'.&5& -/6(&-/3$-&5& (''3!,&7/*!3$'.&5& 2&3(*!8-(9!'.&5& +-(7!"'(*!*/ (614990, 5. !"#$, :&#'&#&3$'.(4 2"., ,. 29, e-mail: lena22.89@list.ru). 12+34/," 5"$67," 8*+42++#," ( !"#$, %&''()) – ./-,(,/* 0(;(.&-#/*!#/*(9!'.(8 -/+., ,&6!-* ./0!,"1 2"(.3/,-&4 #/*!#/*(.( !"#'.&5& -/6(&-/3$-&5& (''3!,&7/*!3$'.&5& 2&3(*!8-(9!'.&5& +-(7!"'(*!*/ (614990, 5. !"#$, :&#'&#&3$'.(4 2"., ,. 29, e-mail: litvinova90-210@mail.ru). About the authors Nazarova Elena Vladimirovna (Perm, Russia) – student, Department of Applied Mathematics, Perm National Research Politechnic University (29, Komsomolsky av., Perm, 614990, Russia, e-mail: lena22.89@list.ru). Osechkina Tatyana Alekseevna (Perm, Russia) – Ph.D. of Physical and Mathematic Sciences, Associate Professor, Department of Applied Mathematics, Perm National Research Polytechnic University (29, Komsomolsky av., Perm, 614990, Russia, e-mail: litvinova90-210@mail.ru). 135