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9771
29.08.2017
that net asset value of UIFs for non-qualified investors was up 2.8% reaching almost 634.4 billion rubles; the number of these fund owners
9772
22.08.2017
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Pursuant to requirements of Clause 3.1.8.1.2 of Bank of Russia Regulation No. 395-P, dated 28 December
9773
21.08.2017
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Pursuant to requirements of Clause 3.1.8.1.2 of Bank of Russia Regulation No. 395-P, dated 28 December
9774
21.08.2017
and credit files of its corporate borrowers for a total of 23.8 billion rubles to the provisional administration.
The inspection of the bank’s
ALGORITHM ____________________________________________ 6
Step 1 ______________________________________________________________________ 7
Step 2 ______________________________________________________________________ 7
3. SOME ESTIMATION ALGORITHMS ____________________________________ 8
4. ALGORITHM IMPLEMENTATIONS ____________________________________ 9
4.1. Solution algorithms _____________________________________________________ 9
4.1.1.
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120% 10%
100% 8%
80% 6%
60% 4%
40% 2%
20% 0%
0% -2%
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interbank interest rates, money and credit
growth, stock market indices, capital flows).
8 Working Paper Series NOWCASTING AND SHORT-TERM FORECASTING OF RUSSIAN GDP WITH A
the paper [8, p. 8]). This allows the authors to get quite an accurate GDP estimate exceeding
the estimates derived from alternative models [8, p.
cycle .................................................................................................................. 6
2. Early warning indicators selection .................................................................................................... 6
3. Data ............................................................................................................................................................ 8
4. Empirical analysis .................................................................................................................................. 8
4.1. Stand-alone indicators ....................................................................................................................... 9
4.2. Discrete choice models