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Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds Cover

Classification of Open-End Investment Funds Using Artificial Neural Networks. The Case of Polish Equity Funds

Open Access
|Nov 2021

Figures & Tables

Figure 1

Diagram of an artificial neural networkSource: own elaboration
Diagram of an artificial neural networkSource: own elaboration

Figure 2

Neuron diagramSource: own elaboration
Neuron diagramSource: own elaboration

Figure 3

Number of observations in the studied period (12.1995-03.2018)Source: own elaboration
Number of observations in the studied period (12.1995-03.2018)Source: own elaboration

Classification matrix based on BETA classifier

Observed classPercentage of correct classificationPredicted classTOTAL
<0<0 ; 1>> 1
< 014%362250261
<0 ; 1>99%23414334169
> 15%020510215
TOTAL90%594573134645

Descriptive statistics of quantitative independent variables

NMeanMedianMinimumMaximumStd. Deviation
R50550.334260.61367−36.501023.495685.560999
R(-1)50180.366120.64163−36.501023.495685.566170
(R-3)49440.371740.64123−36.501023.495685.572185
(R-6)48350.394090.66000−36.501023.495685.613492
AGE50554.109264.343810.00005.590990.975071
SIZE505518.9348819.0969812.752822.535591.596097
CF50540.05861−0.00184−0.354270.107031.094054

Descriptive statistics of quantitative independent variables in classes of SIGMA classifier

VariableClass of SIGMANMeanMedianMinimumMaximumStd. Dev.
R024801,332241,29754−11,455713,835023,403976
12575−0,62690−0,65290−36,501023,495686,904846
R(-1)024600,907020,81168−16,749121,527023,267253
12558−0,154060,22143−36,501023,495687,069031
(R-3)024320,823330,89965−18,881821,527023,877995
12512−0,065470,21742−36,501023,495686,795085
(R-6)023930,867260,91793−16,786721,527024,400762
12442−0,069580,35119−36,501023,495686,556710
Size024804,258104,465910,00005,583500,903739
125753,965914,189650,69315,590991,018972
WAN0248018,9822219,0303612,752822,381941,376150
1257518,8892719,2508313,046622,535591,781540
CF024790,08046−0,00222−0,354270,107031,534043
125750,03757−0,00124−0,34159,090670,288631

Classification matrix based on SIGMA classifier

Observed classPercentage of correct classificationPredicted classTOTAL
< 0.75> 0.75
< 0.7582.9%19213952316
> 0.7576.7%54317862329
TOTAL79.8%246421814645

Global analysis of network sensitivity (SIGMA classifier)

DISTRIBUTIONFUNDDATEAGER(-1)SIZERR(-6)R(-3)CF
2.902.751.511.351.201.191.121.031.021.01

Descriptive statistics of quantitative independent variables in classes of BETA classifier

VariableClass of BETANMeanMedianMinimumMaximumStd. Dev.
R03041.200251.30403−14.62820.056645.348625
145220.400230.67158−36.50123.495685.441381
2229−2.11814−2.0185−31.028920.503847.296892
R(-1)03001.107561.76688−36.50113.668715.552314
144910.401510.63795−34.401523.495685.483564
2227−1.31399−0.84962−30.820914.911466.782666
(R-3)02921.821231.6856−24.796121.527025.655938
144260.322280.65432−36.50123.495685.533347
2226−0.53241−0.48742−30.820912.790575.91571
(R-6)02780.985860.937−24.616918.482965.07533
143360.383880.66353−36.50123.495685.621471
2221−0.149810.42433−30.820912.494096.04421
AGE03043.508193.8501505.123960.942185
145224.132254.375740.69315.590990.961346
22294.453234.867530.69315.505330.979203
SIZE030417.7523817.7763712.752819.956481.344688
1452218.9687019.1219112.767122.535591.57812
222919.8366819.8388813.924522.515031.407123
CF03030.069530.01405−0.32391.407540.189824
145220.06084−0.00249−0.354270.107031.154969
22290.00008−0.00713−0.19382.243130.157846

Description of the network set used in classification based on SIGMA classifier

ANN No.ANN typeNumber of hidden neuronsActivation function (hidden layer)Activation function (output layer)
1MLP6Logistic sigmoidSoftmax
2MLP9ExponentialHyperbolic tangent
3MPL7Hyperbolic tangentSoftmax
4MLP13Logistic sigmoidHyperbolic tangent
5MLP9Logistic sigmoidSoftmax

Macro and investment fund market data for USA, European Union and Poland

200420052006200720082009201020112012201320142015201620172018average p.a.
GDP
GDP (in %)USA3.83.52.91.9−0.1−2.52.61.62.21.82.52.91.62.22.92.0
EU2.42.32.23.10.5−4.32.11.8−0.40.31.82.32.02.52.01.2
PL5.33.55.86.84.22.83.65.01.61.43.33.83.14.85.14.0
Inflation
CPI (in %)USA3.33.42.54.10.12.71.53.01.71.50.80.72.12.11.92.1
EU2.42.32.23.22.21.52.73.02.31.0−0.10.21.11.61.61.8
PL1.70.71.44.03.33.53.14.62.41.0−1.0−0.50.82.11.11.9
Stock market capitalisation as a percentage of GDP
USA13313014113879105115101116144151138147166148130
UK*1171211401256411610811012214211610610811797116
PL38314349173440263539312929382537
Open-end investment fund NAV growth
USA10.2%8.8%16.9%15.4%−20.0%15.8%6.3%−1.6%12.2%15.3%5.5%−1.4%4.4%14.7%−5.6%6.5%
EU9.5%22.8%14.5%7.5%−22.9%15.2%14.0%−1.4%12.9%9.5%15.8%19.5%4.5%11.6%−3.2%8.7%
PL36.8%71.0%62.3%43.0%−52.8%28.2%29.1%−10.1%38.2%27.1%7.5%20.9%−0.7%13.8%−10.6%20.2%
Open-end investment fund structure
USAequity49.4%53.7%55.0%56.1%53.5%38.0%43.9%47.3%44.8%45.5%51.6%52.4%52.0%52.4%54.9%50.2%
money market27.6%23.5%22.8%22.5%25.7%39.8%29.8%23.7%23.1%20.6%18.1%17.2%17.6%16.7%15.2%22.6%
bond17.0%16.0%15.3%14.4%14.0%16.3%19.8%21.9%24.4%26.0%21.8%21.8%21.8%22.3%21.7%19.8%
multi-asset6.0%6.8%7.0%7.0%6.8%5.8%6.5%7.1%7.6%7.9%8.5%8.7%8.6%8.6%8.2%7.4%
EUequity35.0%38.0%41.0%39.9%29.1%33.9%36.0%33.0%33.0%37.0%38.0%38.0%37.0%38.0%39.0%36.4%
money market21.0%18.0%16.0%16.5%25.8%21.1%20.0%19.0%16.0%13.0%13.0%14.0%13.0%12.0%2.0%16.0%
bond27.0%25.0%23.0%21.7%22.9%23.0%23.0%27.0%29.0%28.0%28.0%26.0%27.0%27.0%23.0%25.4%
multi-asset14.0%13.0%15.0%15.5%16.0%16.4%15.0%16.0%16.0%16.0%16.0%17.0%17.0%18.0%26.0%16.5%
other3.0%6.0%5.0%6.4%6.3%5.6%6.0%5.0%6.0%6.0%5.0%5.0%6.0%4.0%10.0%5.7%
PLequity12.7%10.7%19.5%31.3%23.4%29.0%27.7%19.2%16.9%16.0%13.8%11.7%10.9%11.9%13.4%17.9%
money market14.4%13.2%8.2%6.5%10.3%9.3%13.2%16.1%9.5%11.1%13.5%11.9%12.4%14.8%21.9%12.4%
bond21.2%17.4%7.2%5.6%14.6%13.6%14.4%17.1%28.3%23.1%20.1%16.2%16.8%17.1%17.4%16.7%
multi-asset16.2%18.6%26.3%31.7%26.5%32.7%28.8%18.9%13.8%11.3%15.1%12.8%9.5%11.7%11.4%19.0%
other35.5%40.1%38.8%24.9%25.2%15.4%15.9%28.7%31.5%38.5%37.5%47.4%50.4%44.5%35.9%34.0%

Description of the network set used in classification based on BETA classifier

ANN No.ANN typeNumber of hidden neuronsActivation function (hidden layer)Activation function (output layer)
1MLP13Hyperbolic tangentHyperbolic tangent
2MLP6Logistic sigmoidSoftmax
3MPL11ExponentialHyperbolic tangent
4MLP13ExponentialLogistic sigmoid
5MLP15Logistic sigmoidHyperbolic tangent
DOI: https://doi.org/10.2478/ceej-2021-0020 | Journal eISSN: 2543-6821 | Journal ISSN: 2544-9001
Language: English
Page range: 269 - 284
Published on: Nov 7, 2021
Published by: Faculty of Economic Sciences, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2021 Katarzyna Perez, Małgorzata Szczyt, published by Faculty of Economic Sciences, University of Warsaw
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.