The forecast is prepared in accordance with ACRA's General Principles of Socioeconomic Indicators Forecasting.
The current, almost 3-year, cycle of a fast decline in short-term rates is almost over, as the rates has virtually reached a neutral range, which is currently determined by the Central Bank at 6–7% (see Fig. 1). In the opinion of the Bank of Russia, such range may stay unchanged if the economy growth rate remains close to its potential and the inflation is close to the target. However, at the forecast horizon, changes may occur in both the CBR's opinion on the non-observable level and the level itself, which may further push down long-term rates too.
In 2017–2018, the average benchmark established by the regulator for short-term rates has already declined: the publicly announced range has changed from 2.5–3% to 2–3% in real terms. The CBR's research papers also referred to an estimate of 1.0–3.2%, with a lower average rate6. According to recent statements, currently, the Bank of Russia applies a model where equilibrium rates are internal rates that are on real parity with external rates7 (see Fig. 2).
The economic logic is as follows. Interest rates reflect the opportunity cost of money lent. This value is equal to a certain combination of the real rate of return in a country and the external investment rate of return. In a situation when the external returns are higher than the potential internal returns, and under condition of free capital flows, a rational investor (econ) prefers external investments. Therefore, in order to compete with the external world for loans, businesses and population will, nevertheless, borrow internally at the external rate. Temporary fluctuations of internal rates against external rates drive equalizing cross-border financial flows.
Key assumptions for such model include possible equalization and the absence of expected changes in the real foreign exchange rate. Financial and trade sanctions may affect the freedom of cross-border capital flows and export-import flows. Stronger protectionism in the world trade, along with the relative growth in prices for commodities, may give raise to the expectations for real strengthening of currencies of commodity exporting countries. If significant, both factors push down the neutral range of rates.
8 The neutral rate trend in global markets is based on the data from: Holston, Kathryn, Thomas Laubach, and John C. Williams. 2016. "Measuring the Natural Rate of Interest: International Trends and Determinants," Federal Reserve Bank of San Francisco Working Paper. The equilibrium country risk is derived from averaged long-term CDS 5Y for the last six years without recessions.
9 2.8% in the long-term, according to Holston, Kathryn, Thomas Laubach, and John C. Williams. 2016. "Measuring the Natural Rate of Interest: International Trends and Determinants," Federal Reserve Bank of San Francisco Working Paper. 3% in 2020 — long-term nominal benchmark mentioned after the Fed rate meeting on March 21 this year. In real terms — 0.8–1%, respectively.
10 Main long-term drivers of the global real interest rate are taken from: Secular drivers of the global real interest rate, Lukasz Rachel, Thomas D Smith, Staff Working Paper No. 571, Bank of England.
Multiple proposals to increase the long-term economic growth in Russia include measures for higher investments. Such proposals are based on the observation that at the end of the 20th century and beginning of the 21st century, per capita GDP growth rates by country were on average 1 p.p. higher for every 4 p.p. of investment share in GDP.
Since the direct encouragement of investment demand by increasing government spending is limited by the budget rule, and the main goal of the Central Bank is, generally, to smooth out cyclical fluctuations, it is hardly to be expected that monetary policy will be used to push up investments.
Therefore, the opportunities for accelerating investment growth are rather sectoral in nature and are associated with two groups of drivers: structural (socioeconomic changes, state policy) and short-term (financial condition and growth of industries, availability of financial resources). Structural drivers are usually considered to be forward-looking (they are built on known and expected changes), but in respect of the short-term drivers, a backward-looking analysis is conducted (investors' expectations regarding the potential profitability of industry markets in most cases depend on current margins and risks).
Table 3 shows structural drivers for investments, i.e. main processes that require or create conditions for extension or change for certain companies in certain sectors on the forecast horizon. This component of investment decisions based on expectations or structural drivers does not depend on finance sources and methods.
Internal market growth will be limited if growth rates of the economy and personal incomes remain low. But, as some markets (including insurance, IT, sports) are still unsaturated, it may drive the growth. Furthermore, new budget rule and lower budget expenditures drive private investments in those markets where government services dominate (healthcare, education).
Export market growth is connected with the historically high competitiveness of Russian commodity producers (oil and gas sector, metals, chemical industry, agribusiness) and extension of transport infrastructure (seaports, railroads and motor roads, pipelines) to increase exports.
Various import substitution drivers exist in the markets with a high import share. Such drivers have become stronger following ruble devaluation (light industry, construction materials), countersanctions (agroindustry) and industry policy (motor industry, aircraft industry, power machine building). In agroindustry, a traditional beneficiary of import substitution, this driver is close to exhaustion: the import share is minimal there.
Low economic growth rates and low inflation in industries where price competition is possible change the drivers — from extensive expansion of production capacities to investments into cost cutting. First of all, this relates to retail trade, logistics and finance sector.
Drivers to invest into fixed assets maintenance are related with historically insufficient investments (housing and utilities, roads), ageing cyclicality of fixed assets (e.g., in the USSR, the peak of power industry investments was in 1970–1980), higher prices for imported equipment and growing demand for repairs.
State policy may directly establish requirements for new investments, for example, Russian environmental standards (oil refining sector) and data storage standards. In the beginning of 2020s, a new power industry upgrade program is likely to be launched, similar to the capacity supply agreement mechanism applied currently.
The issue of investment financing is mostly considered from the backward-looking analysis, i.e. taking into account the short-term drivers. This is dictated, first, by that over 50% investments into fixed assets in Russia are financed by companies and depend, mainly, from their financial condition in the previous years. Second, investment financing decisions are often made based on extrapolation of current profitability trends, external conditions, and financial standing of companies.
For industry risk in rating analysis, see ACRA's Methodology for Credit Ratings Assignment to Non-Financial Corporations under the National Scale for the Russian Federation.
Current short-term attractiveness of investments in certain industries has been analyzed by us on the basis of aggregated indicators of profitability, credit quality and observable growth of production volume. Table 4 shows relevant ranks of main sectors, in the descending order of medium ranks resulting from three indicators. Only 2017 data published by the Federal Tax Service, the Bank of Russia and Rosstat were used in calculations. A simplified indicator for credit risk does not use corporate rating analysis data — ranks derived only from bank arrears are shown.
Calculations show that, currently, there are rather no prominent leaders in short-term investment attractiveness. The only exception is the transport and logistics sector. Other sectors have at least one indicator ranked below average. Such "mosaic" nature of short-term investment attractiveness is likely to contribute to the absence of fast economic growth driven by investments.
In the table above, we combine industry data available to the broadest investment community, and therefore, that data is very likely to influence the majority of current investment decisions. The investment potential may be assessed using the standard risk/reward approach. As the long-term risk and return on investments visibly varies across industries, our goal was to demonstrate current level’s deviation from the historic averages for an extended period. Hence, the term “short-term attractiveness”. The word “relative” in the table title refers to ranking the industries by a specific indicator.
1. We use FTS data on corporate income tax collected in the consolidated budget (1-NOM reporting form) as a simplified indicator of the current profitability. First, we calculate the industry’s average share in tax collection for 2011-2016. Then, we arrive at the share’s deviation from the average value determined at the previous stage. In the table, ranks for this indicator are calculated in a descending order. The changes in activity classification codes used in the tax statistics were taken into account when analyzing the reporting form.
Rosstat (Federal State Statistics Service) data on the aggregate financial performance of the corporate sector could be used as an alternative to tax statistics; however, these data for 2017 is not yet finalized. In particular, unexplained discrepancies in numbers were identified (for a total of RUB 1.3 trillion across all industries ) in the references entitled “On financial performance of companies in 2017” and “Short-term economic indicators of the Russian Federation” both published by Rosstat.
It is worth noting that financial reporting data of public companies are generally consistent with the identified trends, though such data is recognized as not representative enough for trend analysis across all industries. Data control was performed using internal databases of ACRA.
2. We use deviation of overdue bank debt of industry companies from the long-term average figures as the investment risk perception indicator. Calculations are performed using the Bank of Russia data from the table “Overdue debt on loans to legal entities (residents and self-employed) in Rubles and foreign currencies with breakdown into types of economic activity and intended use of cash”. The table ranks industries by this indicator in an ascending order.
3. The current physical growth figures are derived from the system of national accounts published by Rosstat: GDP generated (annual data with detailed breakdown), annual OKVED 2 data (Russian National Classifier of Types of Economic Activity). This way we obtain the gross added value dynamics. The table ranks industries by this indicator in a descending order.
11 For more details, please see Comments on State and Business, Vol.150; published by HSE Centre of Development Institute.
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