Turgulova A.K., Intykbaeva
S.Zh.
New
Economic University named Turar Ryskulov Kazakhstan
Investment portfolio management during crisis
Contemporary financial
markets are becoming more volatile. Increasing instability, unpredictable
rallies and drops, chaotic quotation dynamics, as well as dependence on
variable factors have become more frequent. Without competent management and
application of advanced financial technologies, the investment portfolio loses
its effectiveness and might become a subject to significant losses.
Implementation of
investment portfolio management methods at the Kazakhstani enterprises is based
on two prevailing methods - active and passive management.
Index fund strategy is
one of the strategies of passive investment portfolio management. It is based
on the assumption that the portfolio should reflect the dynamics of the
selected index, which in turn portrays the condition of the equities market (or
the key segments of the market). The security types and their weights are
determined by the process, similar to the calculation of the index. The primary
goal of investor is to replicate the market structure within the portfolio and
modify it on a semi-annual to annual basis. This model is employed by the
majority of Kazakhstani enterprises. Nevertheless, the equities market index
strategy has a number of practical deficiencies.
First, indices are very
inconsistent, as their components can change due to:
a) Reduction in the
value of the concrete component; b) The appearance of new component; c)
Bankruptcy of the company; d) Mergers and acquisitions.
The changes in
monitoring process of the index fund for the passive portfolio imply
corrections to reflect the current situation, which results in additional
expenditures, since the restructuring of portfolio may require payment of the
above-average commission fees. Another important factor to consider is the
bid/ask spread. Hence, management of passive portfolio is not economically
feasible in conditions of developing markets. Reinvestment of dividends as well
as corrections which arise due to the changes related to the weights of
component indices, require operation expenditures and payment of above-average
commission fees due to insignificant investment amounts, as theoretically, each
dividend must be divided for weighed distribution for each section within the
index. This, in our opinion, is an important concept as the majority of the
institutional investors in Kazakhstan assess the aggregate profit, i.e. the sum
of capital and reinvested capital. Therefore, it is necessary to account for
capital gains while changing the composition of the general index.
Secondly, replication of
the index fund in its entirety is relatively complicated for domestic
investors. Currently, there are several indices being calculated in Kazakhstan
and their methodology for calculation, as well as the list of enterprises for
inclusion in each index differ significantly. Therefore, the problem arises
during the selection of the index fund that will adequately reflect the
behavior of the market or its segments. Execution of the passive investment
strategy in Kazakhstan is also complicated by the instability of the
Kazakhstani equities market. In this case, replication of indexes, represented
by the largest and most reliable companies will still remain a fairly risky
investment. Furthermore, the domestic equities market is very dynamic, which
makes the semi-annual/annual portfolio update insufficient. As a result, the
main advantage of passive portfolio management, the low portfolio management
costs, cannot be realized. Therefore, we assume that under the conditions of
crisis, the market is more inclined towards using the index fund strategy as a
method of active, rather than passive strategy.
Due to the above
mentioned reasons, the need for constant update of portfolio increases
expenditures and makes it impossible to replicate the behavior of the index
precisely. Since index itself does not require such expenditures, as it is
theoretically a construction, achievement of similar returns by means of
passive portfolio becomes impossible.
The active management
model assumes monitoring and immediate acquisition of instruments, which
correspond to portfolio’s investment goals, as well as the quick change of the
portfolio composition. The main task of the active management model lies in
developing a proper forecast of the expected return on investment. Active model
investors purchase securities with expectations of their rapid price appreciation.
This method implies higher risk for investors, as they face the systematic risk
(related to the market in general) and unsystematic risk (related to separate
market component). In case of proper management of both risk components, the
investor can achieve significant returns.
Regardless of the
apparent advantages of the active management method, we believe that portfolio
management in the case of the emerging market has its disadvantages. Firstly, it
is impossible to understand the information about the fundamental factors, capable
of influencing the market price of securities, in its entirety. Equities market
is a sensitive system in regards to the external and internal factors.
Therefore, understanding of the objective and subjective factors requires
larger amounts of time and makes it impossible to study the entire volume of
information under the conditions of highly dynamic environment. Secondly, the
active method implies the absence of full-scale control over the systematic and
unsystematic risks, which leads to an increase the risk of capital losses for
portfolio. Therefore, the most suitable method for domestic enterprises will
imply the combination of both, active and passive portfolio management methods.
The portfolio return is
an important factor for consideration during the formation of the investment
portfolio. The portfolio target return level determines the manager's choice of
the investment method. Achievement of the return on portfolio equal to or
greater than the return on index during the holding period constitutes the
success of the investment policy, while portfolio return below index indicates
that the portfolio formation was done incorrectly, since its price grew less
than the market capitalization. The portfolio management style of the
enterprises falls under the category of passive portfolio management, namely
the index fund strategy, if the enterprise (investor) uses the highest risk
methods, aimed at the achievement of highest returns. Such active management
methods include operational buying and selling of securities to obtain capital
gains from increases in securities’ quotations, investment in high-risk papers
of little-known emitters or transactions with the use of margin. All of the
mentioned methods are potentially profitable, but also risky. Due to the risk
involved, many of those transactions are forbidden by law for the majority of
institutional investors. In accordance with the Law of the Republic of
Kazakhstan On Pension Provision (article 55), it is forbidden for pension funds
to purchase securities with the use of margin; sign contracts for sale of
securities, which do not belong to the non-governmental pension fund [1].
On a global scale
economic changes or shifts do not occur for the individual enterprises -
emitters, but for the industrial groups (for example, as a result of the
appearance of new technologies or change in market conditions). Supply and
demand for the stocks may change depending on the group composition. These
groups may be formed based on different factors: the scale of emitters, the
level of capitalization, etc. However, it is more efficient for the enterprise
that represents a specific industry to classify its shares on the market on the
basis of its industry.
It is important for
enterprises to control the tendencies that occur within the industry. The
market acts as a barometer of the country’s entire economic system. Main reason
being the fact that the most liquid capital and monetary instruments are traded
on the exchange. Regardless of the fundamental factors, the industry-level
events may impact the share prices of the emitters in the industry. For
example, an increase in the prices of oil on the global market result in higher
prices for the shares of oil companies in the short-term. Besides, the capital
flows may start flowing into or out of the market, or fluctuate within the
market between the industrial groups. Therefore, it is important for the
investor to monitor the capital flows within the market, in order to forecast
the future conditions of the industry, to which his enterprise belongs. This
process is also effective in the absence of possibility of investing capital on
the market, as it allows to gain the understanding of the industry dynamics.
In the process of
managing the most liquid instruments of the investment portfolio there is the
need for control of capital flows between industries. This problem creates the
need for the industry indicator - index, which can control the structural
changes of the fund capital. Currently, the absence of such indicator negatively
affects the regional investors, which face the information deficiencies.
Regional equities market
mainly consists of regional companies’ stocks. The available information only
allows for monitoring of the factual dynamics of the market and quotations of
specific securities. Emitters often act as owners of free capital. On the basis
of the Board of Directors decision the enterprise executes the buyback of its
own shares that belong to second or third liquidity groups (for example,
Kazakhtelecom JSC and Kazatomprom JSC bought back 100% of their outstanding
preferred shares). High level of correlation between securities of emitters
from same industry allows building of forecasts for less liquid shares.
However, the current voting power of the capital owner during the decision
making process in regards to purchase/sale price is not sufficient. The procedure of second-class share
valuation is entirely delegated to professional market participants, or
sometimes, investment consultants. Both of them may have a subjective influence
on the valuation price. The industry of the emitter is never chosen as the main
factor for valuation, which can help characterize the security from industry
investment rating perspective, as it is always a specific security - industry representative.
Therefore, the main aim of the consultant is to support the choice of a
particular industry representative. Under conditions of highly dynamic market
on short-term basis, the task is complicated by the large quantity of
contradictory information, capable of radically changing the investment
attitude of market participants.
All of it means that
more detailed control over the market requires monitoring not only global
(between markets) and small (between emitters) capital flows, but also medium
ones (between industries). To solve this issue, a synthesized instrument, which
allows the execution of real-time technical control over capital flows between markets,
is necessary.
One of the most
efficient instruments for use in the process of portfolio management on the
Kazakhstani market may be the RCBK index (index of the Kazakhstan equities
market). However, the use of general equities indexes is efficient only for
large enterprise-investors, which have sufficient amounts of free capital. The
basing of portfolios of such volume (which are usually sufficiently diversified)
on index brings moderate, but stable returns. Small and medium investors, whose
portfolio usually consists of one to three most liquid emitters, use this
metric in decision making. Index changes essentially bear informative nature
for them, since securities quotations’ dynamics may differ from index in
short-term.
Analysis shows that presently
the control is implemented only for capital flows between markets and specific
emitters, which allows for monitoring of the integrated capital moves, which
include strategic and speculative capital. Monitoring of the capital flows
between individual emitters allows distinguishing the speculative capital from
the rest to one degree or another. However, the capital flows between
industries enable the efficient control of large investors’ strategic capital.
Management of the
cross-branch capital flows solves the following key issues:
Firstly, it allows the
financial management team to assess the attractiveness of investing capital
into key economic sectors of the national economy. Secondly, it helps obtain the
complete control over the capital flows within the equities market. Thirdly, it
allows for usage of a more detailed approach to the formation of strategic
investment portfolio, taking into account the attractiveness of branch sectors.
While the equities index
indicates the increase or the decline of the overall activity, cross-branch
capital flows, expressed by one index or another, show the internal structure
of capital on the market, as well as investor preferences. With this indicator,
the enterprise financial manager may obtain additional confirmatory signals in
the process of portfolio management. Besides, it creates the possibility to forecast
cross-branch capital flows, which increases the probability of making more
optimal investment decision. This approach allows large enterprises to secure
their investments with additional insurance. Using different methods of
hedging, investor can focus on specific shares of concrete industry
representatives without taking additional risk. In absence of the chaotic
dispersion of capital, the portfolio return becomes easier to forecast, while
the capital becomes liquid and manageable.
In order to assess the
attractiveness of the securities group, related on the basis of industry, the
index that allows the aggregation of quotations of separate shares is
necessary.
In order to be
aggregated, this index must: - be representative of all securities within the
industry; - be computed from data that is publicly available.
In its content any index
is a mathematical expectation. It must be the center of gravity for that
sample, for which it was calculated. In this case the condition for selection
will be the belonging of emitter to one industry or another. Therefore, this
index should be named the free industrial index.
The realization of this
possibility is connected with the construction of an indicator on the basis of
the objective data about the activity of professional participants and proper
methodology for their processing. The most convenient and publicly available
data for evaluation of business activity of professional market participants
includes the volume of transactions within specific market segments during the
specific period of time and with a specific security. The methodology for
processing of this data should offer the possibility of obtaining comparable
valuations to make judgement about the direction and intensity of market
activity changes. In general, the changes of investment attractiveness of a
specific security can be assessed by comparing the trading volume of this
security with base instrument or with the previous trading value. Such approach
to market valuation, hypothetically, will allow the manager to determine the
degree of investors’ interest in a specific security.
For computation of the
industry index (quasi-index) for separate emitter’s security, the following
methodology is offered:
Where: Int - the instantaneous value of purposeful
index (quasi-index) for securities n at the moment of time t; Int–1 -
the previous value of the index (quasi-index) at the moment of time t - 1; Vnt
- the daily trading volume with security, at t; Vnt-1 - the previous daily
trading volume with security, at t - 1.
Let’s assume that the
previous value of the emitter’s shares index at t - 1 equals 102; daily trading
volume - 10; the previous daily trading volume - 16 [4]. Consequently, the
current value of the index for emitters’ shares at the moment of sale equals
7.98.
![]()
The proposed methodology
for index calculation will make it possible to analyze its current values,
while also taking into account the previous results. Values obtained with this
methodology will act as individual indexes in relation to separate types of
securities.
Creation of a
synthesized industry index requires the weighting of quasi-indexes. The
coefficients, which can be used as qualitative characteristic of the
securities’ attractiveness, should be used as the weights.
As a rule, transactions
with securities are done for the purpose of generating income. This is possible
only in the case of existing price spread, which allows the investor to overlap
the transaction expenses in case of taking certain actions. An increase in the difference
between the local levels of maximum and minimum price of security speaks about
an increase in trading activity of participants with this particular security
and possibility of obtaining high income from trades with this security.
However, one should keep in mind that similar price spread may mean different
things for different securities. The relativity of the securities’ spread to
its overall price is important. This allows evaluating the return from capital,
invested in security. The higher level of return constitutes a higher security
rating. Using the initial data, the maximum profitability from the transactions
with security may act as the rating of the asset. Therefore, this indicator
characterizes the attractiveness of security and serves as weights for the
quasi-indexes, which were calculated for it. In the formalized form, the
maximum level of profitability can be represented as the maximum day spread divided
by the minimum price of day. In this case the ideal scenario is taken into
consideration, when investor acquires the security at the lowest price, and
sells it at the highest price.
On the basis of the above-mentioned
conclusions we offer the following formula for calculation of general industry
index IB.
![]()
Rn = ([N]n - Ln)/Ln, where: IBxt -
industry index during the separate time interval t for the branch X; IBxt-1 -
previous value of industry index at the moment of time t for the branch X; Vnt -
the trading volume with security at the time t; Vnt-1 - previous trading volume
with security the time t - 1; Rn - the highest daily profitability of the
security n; [N]n - maximal daily price; Ln - minimal daily price;
ΣRn - sum of all
levels of maximum profitability values of security n for the time interval t.
The recurrent
(sequential) methodology for calculation of summarized industrial index allows controlling
changes in the index, while taking the previous values into account, which
increases the correlation of its discrete variables.
It should be noted that
the methodology for calculation of summarized branch index lacks the leveling
coefficient, which makes it possible to smooth the rapid changes of its values
that occur as a result of changes in the listing. Such changes in the lists of
securities, which form industry blocks, are of high importance for the manager.
Exclusion of securities from the general listing indicates a decline in the
business activity in this market sector or the corporate actions of the
emitter. While the general equities market index is aimed at leveling the changes
in the listing, the industry index, on the contrary, must track and accentuate
them.
An increase in the
values of industry index implies an increase in the trading volume within the
respective industry, which is a consequence of increased investor demand for
the whole industry, or its separate components. A decline of the industry index
constitutes the overall decline of the equities market (confirmed by declining
equities market index) or the outflow of capital to another industry (confirmed
by increasing index of another industry).
The
summarized industry index reflects the degree of investors' business interest
in the emitters' shares taking their industry accessory into account. With its computation
the investor weights the relative coefficients, instead of the absolute
coefficients, while involved in decision making process. These relative
coefficients characterize the degree of change within concrete market
parameters, such as investor activity and the maximum return on invested
capital.
Literature
1. Law of the Republic of Kazakhstan On Pension Provision ¹ 369,
2011.
2. Securities market of Kazakhstan. 2011, January.
3. Dodonov V. Yu.
Portfolio management in the developing equities markets – Almaty, 2010.
4. Formation of the investment portfolio // Kazakhstani
securities market. – 2009, ¹ 1. – C. 52.
5. Mischenko A.V., Popov A.A. Approaches to the optimization of
the investment portfolio // Management in Russia and overseas. – 2012, ¹2. – Ñ.
103–109.
6.
Kazakhstan
Stock Exchange website – www.kase.kz.