=Paper= {{Paper |id=None |storemode=property |title=The Formation of the Deposit Portfolio in Macroeconomic Instability |pdfUrl=https://ceur-ws.org/Vol-1356/paper_103.pdf |volume=Vol-1356 |dblpUrl=https://dblp.org/rec/conf/icteri/SkrypnykN15 }} ==The Formation of the Deposit Portfolio in Macroeconomic Instability== https://ceur-ws.org/Vol-1356/paper_103.pdf
            The Formation of the Deposit Portfolio in
                  Macroeconomic Instability

                            Andriy Skrypnyk1, Maryna Nehrey1
           1
               National University of Life and Environmental Sciences of Ukraine
                avskripnik@ukr.net, Marina.Nehrey@gmail.com



      Abstract. In 2014 the main tendency of Ukrainian economy was the losing of
      great deposit value. In this article we wish to explore a deposit portfolio struc-
      ture in macroeconomic instability. We applied two approaches to the standard
      optimization portfolio: risk minimization for a given maximum return and re-
      turn maximization for a given maximum risk. Of the two approaches to the
      standard optimization problem of portfolio: risk minimization at a given mini-
      mum return and return maximization for a given maximum risk the advantage
      was given the latter. The exchange rate risks are the main factors that have a
      significant impact on the end result. The optimum structures deposit portfolio
      was calculated for six different situations in national and world financial mar-
      kets. Comparison of the optimal portfolio structure with real historical data
      showed that customers of the banking system over evaluate the reliability of the
      financial system.

      Keywords. deposit, devaluation, portfolio, optimization, return, revaluation,
      risk.

      Key Terms. Data, DecisionSupport, Development, FormalMethod, Manage-
      ment, MathematicalModel.


1     Introduction

   The unstable macroeconomic situation in Ukraine and the crisis of the banking sys-
tem caused distrust in the banking institutions. According to the opinion of experts,
the Ukrainian population kept at home cash equivalent to $10 billion USA. In recent
years was observed the following tendency: in 2014 banks lost deposits in the amount
of 126 billion UAH, and around 18 billion UAH during first two months of the cur-
rent year [3]. However, storage of money at home has several disadvantages: for ex-
ample lack of income from capital and high risks, which lead to additional costs for
the implementation of the safety of their own homes and significantly decrease the
level of living.
   Banking experts usually advise to divide money into three equal parts, two of
which are nominated into euros and US dollars according to the current exchange
rate, and put on deposit accounts in different banks which can be considered reliable
(it is advisable to choose banks which are included in the deposit insurance program
NBU) and wait for interests during this period (simple diversification). Unfortunately,
this method is connected with difficulties. It is almost impossibile to convert legally
the accumulated funds into any reliable currency, besides it is rather difficult to find a
reliable bank. This study is limited to two currencies - US dollars and euros, however,
presented method can be used to form a deposit portfolio using other currencies.
    There are two approaches to the portfolio optimization problem: risk minimization
at a given minimum return and return maximization for a given maximum risk. For
portfolio optimization you need to determine in which currency to evaluate the result.
We can ask a question: “Why do we save money?” The answer can be the following:
“In order to increase consumption during our life (real estate, household appliances,
automobiles, traveling)” [2]. The vast majority of consumed goods in Ukraine are
produced outside the country and therefore it is better to measure the cost by the most
stable currency, which is now can be considered the US dollar. Alan Greenspan
devoted attention to keeping a low dollar inflation level than in the past since such a
policy, combined with the larger predictability of monetary policy, contributed to
making dollar capital denomination most attractive [11].


2      Markowitz Problem under Devaluation Condition

   The Markowitz’s portfolio optimization problem can be solved using the well-
known term of return and risk (variance of return) components portfolio. If return is
measured as the deposit interest, the rate of risk is measured by its dispersion [4].
Linear model was proposed for credit risks in order to maximize bank profit [6, 10].
However, there is a factor that has a significant impact on the end result - an exchange
rate risks, which is more important for unstable economics [3]. Of course interests on
deposit and credit accounts for exchange rate risks, as the interest on UAH deposit
twice as much than the dollar deposit [1, 12]. The importance of foreign exchange
component in the sustainability of the banking system was emphasized in a number of
research [5, 13]. In this study we wish to evaluate the optimal structure of the deposit
portfolio during economic turbulence and make a comparison between real and opti-
mal structure deposit portfolio.
   Exchange rate risks can be taken into account, if a devaluation matrix is specified.
   We will consider the case-study of placing deposits for one year. We assume that
three macroeconomic situations, which determine the devaluation processes in the
                                                                        3
country 1 ; 2 ; 3 , which are defined probabilities p1 ; p2 ; p3 (  pi  1 ) . Each
                                                                       i 1
situation corresponds to a certain devaluation factor relative to USD defined as the
ratio of the exchange rate in a current moment to exchange rate what will be in a year.
We will denote devaluation multiplier for each economic situations i ( i  1,2,3 ) . If
we know the value of a random variable and the corresponding probabilities, we can
estimate the expected value of depreciation factor and its variance:
                                             3                  3
                                         pi i ; ф   pi i2  
                                                     2                       2
                                                                                                         (1)
                                            i 1               i 1



   Later we will consider the case of uniform distribution of devaluation multiplier.
   If   1 then dominate devaluation expectations, if   1 then dominate revalua-
tion expectations. There were short periods of revaluation of UAH, but we observe
the tendency of devaluation according to results of any year.
   It is supposed to use the share denominated in euro for deposit portfolio, which has
currency instability relative to leading world currencies and the objective function is
denominated in USD, we need to specify the expected devaluation and its variance in
EUR against the USD for the next year. We will denote these parameters: ;  2 .
    In this formulation dollar deposits is completely risk-free, which is rather optimis-
tic assumption. During the year, the interest on dollar deposits was changeable, which
can be used as a risk assessment. We denote the variance of interests on USD deposits
 $2 . We assume that the current interest on USD deposits is in the interval 9-11% [8]
and is characterized by a uniform distribution, the dispersion interest is approximately
equal $2  3,3 10 5 .
   We consider the standard formulation of the Markowitz problem taking into ac-
count the expected devaluation (revaluation) processes.
   We present the particles deposit portfolio in UAH, EUR and USD:
d1 ; d 2 ; d3 ( d1  d 2  d3  1 ) , percentage interests r1 ; r2 ; r3 ( r1  r2  r3 ) are ranged
under level of risk of deflationary expectations. If an initial investment is S t than in a
year the expected amount of the deposit portfolio and its dispersion will be:

                   St 1  d1St (1  r1 )  d 2 St (1  r2 )  d 3 St (1  r3 ),
                                                                                                         (2)
                   П2  d12 St2 2  d 22 St2 2  d32 St2 $2 .

   There are no members in portfolio variance that appear as a result of presence of
the connection between return components of portfolio. The reason is that in this case
independent devaluation processes influence on the profitability: euro and US dollar
and the processes of devaluation of the national currency because of macroeconomic
instability in the country. Therefore, we can assert absence of connection between
return of the portfolio shares denominated in different currencies in the proposed
formulation.
   If the level of devaluation is high, the depositor will have loses ( St 1  St ) , that is
why we will limit the possible risk-free profit according to the interest which is equal
to r3 (the return of dollar deposits):

                              d1St ( 1  r1 )  d 2 St ( 1  r2 )  d3 St ( 1  r3 )  St ( 1  r3 )   (3)
   From the last expression we can get maximum portfolio share of deposits denomi-
nated in UAH   1 :
                                           d 2 ( r2  r3 )
                                 d1                                               (4)
                                        1  r3  ( 1  r1 )

   We estimate the maximum share of UAH deposits in terms of catastrophic deval-
uation in 2014. The difference in interests denominated in euros and dollars is less
than 2%, the maximum value of the numerator is less than 0.01.
   Devaluation multiplier for the previous year is approximately equal to 0.4 (8 USD /
UAH 20 = 0.4). Interests on deposits are r1  25% ; r3  10% . Therefore, the share of
UAH deposits in terms of landslide devaluation should not exceed 2%.


3      Optimal Portfolio Structure

   We estimate the portfolio structure with maximum profitability and limited risks
for different combinations of UAH/USD and EUR/USD devaluation multiplier fac-
tors. Evaluation of devaluation multiplier factors is based on monthly time series of
UAH/USD (03.1997 - 02.2015) and EUR/USD (02.2007 - 02.2015) exchange rates.




                  Fig. 1. Dynamics of devaluation multiplier UAH/USD

   Devaluation multiplier measured with one year interval (deposit time in optimiza-
tion problem) and currency pairs we calculated every month from March 1997 to
February 2014 (210 observations UAH/USD) and form February 2007 to February
2014 (98 observations EUR/USD). (Fig. 1, 2).
                   Fig. 2. Dynamics of devaluation multiplier EUR/USD

   The period (1997-2014 for UAH/USD) consists of periods of economic growth
with fixed course and periods crisis when monetary system tends to new equilibrium.
   Devaluation multiplier factor UAH/USD   1 under 155 observations (minor
revaluation probability pr  0,736 ),   1 under 55 observations (devaluation proba-
bility pd  0,264 ). Devaluation multiplier factor EUR/USD   1 under 44 observa-
tions (revaluation probability pr  0,449 ),   1 under 54 observations (devaluation
probability pd  0,551 ).
   Devaluation multiplier EUR/USD has more natural character, when the equilibri-
um is set under the influence of many non-interrelated reasons and a stable tendency
is missing. The stationary hypothesis of the exchange rate of EUR/USD can be
proved if we explored a long time period. The same hypothesis for exchange rate of
UAH/USD must be rejected because of a full asymmetry of devaluation multiplier
relatively to unity level.
   We consider the optimal portfolio structure in three cases: landslide devaluation
from 43% to 150% - 1 (   0,7 ); moderate devaluation of 11% to 43% -  2
( 0,7    0,9 ); and a devaluation less than 11% -  3 (0,9    1,0). We regard the
distribution of devaluation multiplier at each of the intervals being uniform.
   We consider two possible states in the global financial market for devaluation mul-
tiplier for EUR/USD:            1С ( 0,8    1,0 )   and revaluation multiplier:
 С2 ( 1,0    1,2 ) . We present six possible situations that correspond to two situa-
tions of the world finance market (the euro-dollar) and three situations of devaluation
in the domestic market (Table 1).
    We have used interests of one-year deposits in banks of first group (the most relia-
ble) to build optimization models. Of course, other banks interests can be significantly
higher, but in this case it is necessary to increase the risk measures of bankruptcy
probability due to the growth (receiving contributions under the insurance program of
NBU connected with the loss of time and interest and primary contribution for more
than 200 thousands UAH). We use the current annual deposit interests February 2015:
 r1  rU  23%; r2  rE  13%; r3  r$  12%.

Table 1. Expected value devaluation factors for different classes of national and
world economies in 2015

                    1 (   0,7 );                     2 ( 0,7    0,9 );          3 (0,9    1,0)
1С                   0,55;  2  7 ,5  10 3        0,8;  2  3,3  10 3      0,95;  2  0,8  10 3
( 0,8    1,0 )
                      0,9;  2  3,3  10 3          0,9;  2  3,3 10 3       0,9;  2  3,3  10 3

С2                   0,55;  2  7 ,5  10 3   0,8;  2  3,3  10 3           0,95;  2  0,8  10 3
( 1,0    1,2 )
                      1,05;  2  0,8  10 3   1,05;  2  0,8  10 3   1,05;  2  0,8  10 3

  We consider the problem of calculation of the share of certain currencies in deposit
portfolio that maximizes the return of the portfolio for a given maximum risk level,
which is equal to variance of interests on USD deposits:

                                                       (r$max  r$min )
                                               $2                     .                                     (5)
                                                             12

   For r$max  r$min  0,02  $2  3,3 10 5 .
   We obtain the following problem to be resolved for finding d , d  (d1; d 2 ; d3 ) :

                     St 1  d1St ( 1  r1 )  d 2 St ( 1  r2 )  d 3 St ( 1  r3 )  max
                              d12 St2  2  d 22 St2  2  d 32 St2  $2   $2 ,
                                        d 2 ( r2  r3 )
                              d1                         ,                                                   (6)
                                     1  r3  ( 1  r1 )
                                       n
                                       d j  1,
                                      j 1

                                  d j  0 , j  1,3.

   We analyze the results of the calculation of the structure of deposit portfolio with
maximum return, depending on the situation in the global and domestic foreign cur-
rency markets (Table 2).
   There are six situations according to the number of components in Table 2: (1, 1) -
moderate devaluation of the euro and the significant UAH depreciation; (1, 2) - mod-
erate devaluation of the euro and the moderate devaluation of the UAH (1, 3) - mod-
erate devaluation of the euro and slight currency depreciation; (2, 1) - moderate ap-
preciation of the euro and the significant currency depreciation; (2, 2) - moderate
appreciation of the euro and moderate currency depreciation; (2, 3) - moderate appre-
ciation of the euro and the slight depreciation of the UAH.

Table 2. Optimization of deposit portfolio according to the criterion of profit maximi-
zation

                          1 (   0,7 );        2 ( 0,7    0,9 );  3 (0,9    1,0)
  1С ( 0,8    1,0 )   d  ( 0;0;1 )         d  ( 0;0;1 )          d  ( 1;0;0 )
                          St 1  1,12          St 1  1,12           St 1  1,1685


  С2 ( 1,0    1,2 )   d  ( 0;0,73;0,27 )   d  ( 0;0,73;0,27 )    d  ( 0;1;0 )
                          St 1  1,1685        St 1  1,1685         St 1  1,1865


    In cases (1, 1) and (1, 2) optimal portfolio contains only dollar deposits with cer-
tain return. In the case (1, 3) portfolio consists only of UAH deposits (the return is
corrected to the expected depreciation up to 11.1%).
    In cases (2, 1) and (2, 2) the same return is defined by 73% share of deposits nomi-
nated in euros and 27% of deposits nominated in dollars. In the case (2, 3) the return
which is equal to 18.65% is defined by 100% share of euro deposit. However, it is
better to based the assumptions on mathematical forecast about the structure of port-
folio that depends on the probabilities of the external environment: pi  the probabil-
ity of devaluation i state (i = 1,2, ..., k) cross currency exchange rate UAH/USD,
 q j  the probability of the depreciation of the j-th state (j = 1,2, ..., n) cross currency
exchange rate EUR/USD, pij  pi   q j  the probability of simultaneous occurrence
of the i and j devaluation states, d ij  the optimal portfolio structure according to i
devaluation state of the UAH/USD and j state pair EUR/USD. Expected portfolio
structure is defined as:

                                 k   n
                           d   pij d ij .                                                 (7)
                                i 1 j 1


   We calculate the expected portfolio structure, assuming that the devaluation and
revaluation expectations of the euro-dollar are equal.
   ( p1  p2  0,5 ), the first basic variant is calculated according to the assumption
that all three devaluation states have the same devaluation probability (it is a situation
of absolute uncertainty). That is why pij  1 / 6 . This is basic structure of the portfolio
and its expected return:
                 d Б  (0,167;0,41;0,423)....r Б  15,53%;  Б2  7,4  10 4 .
   We consider pessimistic option in which the probability of a significant devalua-
tion is twice higher than the probability of low, moderate devaluation and probabili-
ties moderate devaluation is equal to the sum of probabilities of large and small de-
valuation:

                                      2 / 12....3 / 12....1 / 12 
                             p ij                                                  (8)
                                      2 / 12....3 / 12....1 / 12 

    In this case we obtain the following structure and return of the portfolio:

                 d П  (0,083;0,388;0,529)....r П  14,98%;  П2  6,4  10 4. .

   We consider optimistic option in which the probability of a significant devaluation
is twice lower than the probability of moderate devaluation but the probability of
moderate devaluation is equal to the sum of probabilities of significant and moderate
devaluation:

                         1 / 12....3 / 12....2 / 12 
                  pij                                                              (9)
                         1 / 12....3 / 12....2 / 12 


    In this case we obtain the following structure and return of the portfolio:

                   d О  (0,167;0,41;0,423)....r О  15,53%;  О2  7,4  10 4.

   The last option is not different from the basic one. In macroeconomic environment
and exchange rate instability, the banking system and its clients replace the unstable
assets with stable, and this leads to an increase in dollarization of economy in general
and the banking system in particular (this quantitative criteria is measured as the share
of dollar deposits to the total amount of deposits [5]).


4       Historical Data Model Verification

   Model verification can be made on the base of currency exchange rate (UAH/USD)
measured for a long period of time and tendencies of the exchange rate of two main
world currencies (EUR/USD). For model verification we use period of stable growth
of Ukrainian economy from 2002 to 2007 year, which coincides with period exchange
rate stability. We calculate the optimal portfolio structure for two periods: after-shock
period 2002-2005 and pre-shock period 2006-2007 on the base of NBU data. Average
annual deposit interests for this period is 10%; 5%; 6% and 14%; 9%; 9% (UAH,
EUR, USD).
   Maximum dispersion magnitude has increased in four times in comparison with
previous calculations because of possibility of substantial changes in deposit interests
for long period. Optimal portfolio structure has not UAH component in all six possi-
ble situation (table 3) for 2002-2005.

Table 3. Optimization of deposit portfolio according to the criterion of profit maximi-
zation for 2002-2005 deposit interests: rU  10%; rЄ  5%; r$  6%

                           1 (   0,7 );            2 ( 0,7    0,9 );  3 (0,9    1,0)
1С ( 0,8    1,0 )      d  ( 0;0;1 )             d  ( 0;0;1 )          d  ( 0;0;1 )
                           St 1  1,06              St 1  1,06           St 1  1,06


С2 ( 1,0    1,2 )      d  ( 0;0,2;0,8 )         d  ( 0;0,2;0,8 )      d  ( 0;0,2;0,8 )
                           St 1  1,0685            St 1  1,0685         St 1  1,0685


   Devaluation multiplier UAH/USD probabilities for Tabl.3 ranges calculated from
data analisis: p(1 )  0,077; p( 2 )  0,187; p(3 )  0,736 . For EUR/USD devaluation
multiplier probabilities: p( 1с )  0,449; p( 2с )  0,551 . Next step probability evalua-
tion of simultaneous occurrence of all 6 possible devaluation states on long time in-
terval:

                                           0,035....0,084....0,33 
                        p ij  p i q j                                                     (10)
                                           0,042....0,103....0,406 

  The expected portfolio structure, for this probability matrix and optimal structure
portfolio for each of six situation:

          d 2004  (0;0,11;0,89)....r 2004  6,47%,  2004
                                                      2
                                                            2,5 10 5.

   This result differs from previously obtained for period of crisis. First of all, it con-
cerns the full absence of UAH component, and secondly, much smaller proportion of
the contributions in EUR. Both features are explained by ratio of key interests. Differ-
ence in interests in UAH was not enough to compensate devaluation risk of national
currency, additional interests on USD deposits for EUR provided a small share of
EUR deposits.
   Optimal portfolio structure for pre-crisis period 2006-2007 differs in increasing
share of EUR contribution because interests on USD EUR deposits were equal, UAH
share is still equal to zero (Table 4).
   The expected portfolio structure for 2006-2007 years:
    d 2006  (0;0,449;0,551)....r 2006  11,4%,  2006
                                                  2
                                                        5,2  10 4

Table 4. Optimization of deposit portfolio according to the criterion of profit maximi-
zation for 2006-2007 deposit interests: rU  14%; rЄ  9%; r$  9%

                         1 (   0,7 );          2 ( 0,7    0,9 );  3 (0,9    1,0)
1С ( 0,8    1,0 )         d  ( 0;0;1 )           d  ( 0;0;1 )         d  ( 0;0;1 )
                              S t 1  1,09           S t 1  1,09         S t 1  1,09

С2 ( 1,0    1,2 )       d  ( 0;0,8;0,2 )       d  ( 0;0,8;0,2 )     d  ( 0;0,8;0,2 )
                            S t 1  1,1336         S t 1  1,1336       S t 1  1,1336


   But real structure of bank deposits at that period did not correspond to optimal de-
cision, population prefered UAH deposits because of fixed interests and higher return.
   It was thought that the strategy of the fixed exchange rate provided a decrease in
the level of dollarization of economy, which is defined as a ratio of foreign currency
deposits to all deposits. At this entire interval optimal strategy without risk accounting
consists of two key points: borrowing in foreign currency and placing of savings in
the national currency. At that time, nobody knew when the period macroeconomic
stability would be over, but now it has become clear that the financial crisis was only
a trigger for the system that was ready to collapse. UAH savers and currency borrow-
ers who were unable to complete their operations before 2008 crisis had losses. Bank-
ing customer behavior on the interval of economic growth can be considered on the
basis of the theory of “focusing illusion” [9] when banker clients exaggerate the im-
portance of one factor (fixed course), neglecting the influence of other factors, the
effect of which may lead to opposite results.


5       Conclusion

   In this research we calculated maximum profitability three components UAH,
EUR, USD deposit portfolio structure (targeted function is denominated in US dol-
lars) with risk degree limitations in the economic growth period and periods of mac-
roeconomic instability. The exchange rate instability is regarded as main cause of
deposit risks and formalized by the relationship of current currency price to currency
price which will be in a year (devaluation multiplier).
   Long time devaluation multiplier factor analysis gave possibility to evaluate prob-
abilities of six possible different devaluation (revaluation) situation for pairs
UAH/USD and EUR/USD. The optimal solutions were obtained for each of the six
possible different situations and for three interest options (two options during eco-
nomic growth and one during the period of economic turbulence). Expected deposit
portfolio was determined in conditions of macroeconomic instability for three possi-
ble choices: basic (probabilities of all states are equal), pessimistic (probability of a
significant UAH devaluation is twice higher than the probability of minor devalua-
tion) and optimistic (probability of a significant devaluation is twice less than the
probability minor devaluation). For optimistic option the part of UAH deposit must be
not more than 17%, in other situation expected UAH part must be not more than 8%.
    Optimal portfolio structure in a period of economic grows has not UAH component
because of a small difference in the interests of UAH deposits and EUR, USD depos-
its. But this difference was enough to provide preferred growth UAH denominated
deposits. The reasons of this phenomenon is overconfidence of the clients of banking
system in UAH stability caused by fixed exchange rate according to NBU strategy.


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