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Leading indicators as an instrument of economic forecasting

Abstract

A foreign experience of using economic indicators to predict economic crises and improve economic situation is regarded as useful for improving the forecasting system and for the enhancement of Russian economic security. Theoretical criteria and practical arguments being analyzed to apply indicators at different periods of economic development in changing economic dynamics. The evolution of application of such indicators in U.S. and in European countries is shown as well as the selection of the target indicator of economic dynamic. Four groups of economic variables are shown in this paper as the indicators of economic cycle change. The paper identifies situations when specific indicators show inefficiency which questioning the possibility of using indicators for forecasting. The existing views on such situations are shown and presented the further research directions with the specificity of various periods of technological development.

About the Author

Anna L. Bogdanova
Central Economics and Mathematics Institute Russian Academy of Sciences, Moscow
Russian Federation


References

1. Akaev А.А., Korotaev А.V., Fomin А.А. (2012). The reasons and possible consequences of the second wave of the global financial and economic crisis. Modeling and forecasting of global, regional and national development. Moscow, LIBROKOM, pp. 305–336 (in Russian).

2. Alexander S.S. (1958). Rate of change approaches to forecasting-diffusion indexes and first differences. The Economic Journal, vol. 68, no. 270, pp. 288–301.

3. Anas J., Ferrara L. (2004). Detecting cyclical turning points: The ABCD approach and two probabilistic indicators. Journal of Business Cycle Measurement and Analysis, vol. 1, no. 2, pp. 193–225.

4. Banerjee A., Marcellino M. (2006). Are there any reliable leading indicators for US inflation and GDP growth? International Journal of Forecasting, vol. 22 (1).

5. Belyanova E.V., Nikolaenko S.A. (2012). The economic cycle in Russia in the years 1998–2008: The emergence of internal mechanisms for cyclic development or importation of the global turmoil? HSE Economic Journal, vol. 16, no 1, pp. 31–52 (in Russian).

6. Blomberg S.B., Ethan S.H. (1995). The commodity-consumer price connection: Fact or fable? Federal Reserve Bank of New York Economic Policy Review, vol. 1, no. 3.

7. Breeden D.T. (2013). Consumption as a leading indicator. Current version: March 31. URL: http://ssrn. com/abstract=2642367.

8. Burns A.F., Mitchell W.C. (1946). Measuring business cycles. New York, NBER.

9. Bussiere M., Fratzscher M. (2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, no. 25, pp. 953–973.

10. Cecchetti S.G., Chu R.S., Steindel Ch. (2000). The unreliability of inflation indicators. Federal Reserve Bank of New York, Current Issues in Economics and Finance, vol. 6, no. 4.

11. Chin D., Geweke J., Miller P. (2000). Predicting turning points. Federal Reserve Bank of Minneapolis Staff Report, no. 267.

12. Conference Board. (2000). Business Cycle Indicators Handbook.

13. Cullity J., Banerji A. (1996). Procedures for constructing composite indexes: A re-assessment. OECD Composite Leading Indicators Meeting. Paris, 17–18 Oct.

14. Davydov A., Popov V., Frenkel A.A. (1993). Index of economic conjuncture in Russia: Construction and results. Mirovaya ekonomika i mezhdunarodnye otnosheniya, vol. 12, pp. 32–48 (in Russian).

15. Demirguc-Kunt A., Detragiache E. (1997). The determinants of banking crises: Evidence from industrial and developing countries. World Bank Policy Research Working Paper, no. 1828.

16. Estrella A., Mishkin F. (1998). Predicting U.S. recessions: Financial variables as leading indicators. Review of Economics and Statistics, no. 80 (1), pp. 45– 61.

17. Fels R., Hinshaw C.E. (1968). Forecasting and recognizing business cycle turning points. NBER Studies in Business Cycles, no. 17.

18. Fintzen D., Stekler H.O. (1999). Why did forecasters fail to predict the 1990 recession? International Journal of Forecasting, vol. 15, pp. 309–323.

19. Fisher I. (1933). The debt-deflation theory of great depressions. Econometrica, no. 1, pp. 337–357.

20. Furlong F.T. (1989). Commodity prices as a guide for monetary policy. Federal Reserve Bank of San Francisco Economic Review, winter, no. 1, pp. 21–38.

21. Graham B., Dodd D. (1940). Price earnings ratios for common stocks, security analysis. 2nd ed. New York, McGraw-Hill.

22. Grinin L.E., Korotaev A.V. (2014). Interrelation of long and medium-term cycles (Kondratieff Waves and Juglar Cycles). Kondratieff Waves: Long and medium-term cycles: yearbook. Volgograd, Uchitel (in Russian).

23. Hamilton J.D. (1989). A new approach to the economic analysis of non-stationary time series and the business cycle. Econometrica, no. 57, pp. 357–384.

24. Hirooka M. (2006). Innovation dynamism and economic growth. A nonlinear perspective. Cheltenham (UK), Northampton (MA), Edward Elgar.

25. Koch P.D., Raasche R.H. (1988). An examination of the commerce department leading-indicator approach. Journal of Business and Economic Statistics, vol. 6, no. 2, pp. 167–187.

26. Koenig E.F., Emery K.M. (1994). Why the composite index of leading indicators does not lead. Contemporary Economic Policy, vol. 12, no. 1, pp. 52–66.

27. Kondratiev N.D. (2002). Long cycles of the conjuncture and the theory of forecasting. Moscow, Ekonomika (in Russian).

28. Koopmans T.C. (1947). Measurement without theory. The Review of Economic Statistics, vol. 29, no. 3, pp. 161–172.

29. Krugman P. (2009). Return of the great depression? Moscow, Eksmo (in Russian).

30. Kruk D., Zaretskiy A. (2011). Methodology for constructing a composite index of leading indicators for Belarus. Working material of Research Center IPM: # WP/11/01. Minsk, Belarus (in Russian).

31. Levanon G., Manini J.C., Ozyildirim A., Schaitkin B., Tanchua J. (2011). Using a leading credit index to predict turning points in the U.S. business cycle. The Conference Board. EPEP, no. 11, 5 Dec.

32. Loungani P., Trehan B. (2002). Predicting when the economy will turn // FRBSF Economic Letter, no. 2002–2007, March 15, pp. 1–3.

33. Lucas R.E. (1977). Understanding business cycles. Carnegie-Rochester Conference Series on Public Policy, no. 5 (1), pp. 7–29.

34. Marcellino M. (2005). Leading indicators: What have we learned? CEPR Discussion Papers 4977. C.E.P.R. Discussion Papers.

35. Markov А. (2007). It’s not the time to relax. Expert, July 9, no. 26 (567), pp. 15–22 (in Russian). URL: http://expert.ru/expert/2007/26/ne_vremya_rasslablyatsya.

36. McNees S.K. (992). How large are economic forecast errors? New England Economic Review, no. 1, July/ August, pp. 25–42.

37. Mitchell W.C., Burns A.F. (1938). Statistical indicators of cyclical revivals. NBER Bulletin, no. 69.

38. Moore G., Shiskin J. (1967). Indicators of business expansions and contractions. New York, National Bureau of Economic Research.

39. Moore G.H. (1950). Statistical indicators of cyclical revivals and recessions. NBER Occasional Paper, no. 31.

40. Moore G.H. (1961). Business cycle indicators. Princeton: Princeton University Press for NBER.

41. Moore G.H., Zarnowitz V. (1986). The American business cycle: Continuity and change. Chapter in NBER book, University of Chicago Press, pp. 735–780.

42. Moylan C.E. (2010). Cyclical indicators for the United States. Third International Seminar on Early Warning and Business Cycle Indicators. Moscow, November.

43. Murphy J.J. (1999). Intermarket technical analysis: Trading strategies for the global stock, bond, commodity, and currency markets. Moscow, Diagramma (in Russian).

44. Neftci S.N. (1982). Optimal prediction of cyclical downturns. Journal of Economic Dynamics and Control, no. 4, pp. 225–241.

45. Ng E. (2012). Forecasting US recessions with various risk factors and dynamic probit models. Journal of Macroeconomics, no. 34 (1), pp. 112–125.

46. OECD (2008): OECD System of Composite Leading Indicators, Methodology Guideline.

47. Ostapkovich G.V. (2000). About the system of indicators of the cyclical nature of the economy. Voprosy statistiki, vol. 12 (in Russian).

48. Perez C. (2011). Technological revolutions and financial capital: The dynamics of bubbles and golden ages. Moscow, Delo (in Russian).

49. Pestova A. (2013). Predicting turning points of the business cycle: Do financial sector variables help? Voprosy Economiki, vol. 7, pp. 63–81 (in Russian).

50. Plisetsky D.E. (2004). Monitoring system of the financial sector of the economy. Bankovskoe Delo, vol. 9 (in Russian).

51. Popov V.V., Frenkel А.А. (1996). Index of business activity for the Russian economy. EKO, vol. 10 (in Russian).

52. Schumpeter J.A. (1934). The theory of economic development. Harvard: Harvard University Press.

53. Shiskin J. (1961). Signals of recession and recovery, an experiment with monthly reporting. Occasional Paper, no. 77. New York, NBER.

54. Smimov S.V. (2012). Russian cyclical indicators and their “real-time” usefulness: An experience of the 2008–2009 recession. HSE Economic Journal, vol. 16, no. 4, pp. 479–513 (in Russian).

55. Smimov S.V. (2013). Industrial output in the USSR and Russia, 1861–2012. Part II. Crises and cycles. Voprosy ekonomiki, vol. 7, pp. 138–153 (in Russian).

56. Smirnov S. (2015). Economic growth and economic crises in Russia: Late 1920s – 2014. Voprosy ekonomiki, vol. 5, pp. 28–47 (in Russian).

57. Smirnov S.V. (2001). A system of leading indicators for Russia. Voprosy Economiki, vol. 3, pp. 23–42 (in Russian).

58. Smirnov S.V., Chernyavskiy A.V., Saburov E. (1996). Economic indicators in Russia: 1995. Voprosy statistiki, vol. 4 (in Russian).

59. Solntsev O.G., Mamonov M.E., Pestova, Z.M. Magomedova A.A. (2011). Experience in developing early warning system for financial crises and the forecast of Russian banking sector dynamic in 2012. The Journal of the New Economic Association, vol. 12, pp. 41–77 (in Russian).

60. Stock J.H., Watson M.W. (1989). New indexes of coincident and leading economic indicators. NBER Macroeconomics Annual, vol. 4, pp. 351–409.

61. Stock J.H., Watson M.W. (2003). Understanding changes in international business cycle dynamics. NBER Working Papers 9859. National Bureau of Economic Research.

62. Struchenevskiy А.А. (1998). Empirical analysis of financial crises in Russia. HSE Economic Journal, vol. 2, no. 2, pp. 197–209 (in Russian).

63. Taleb N.N. (2007). The black swan: The impact of the highly improbable. New York, Random House.

64. Ulyukaev А.V., Trunin P.V. (2008). Application of the signal approach to the development of indicators-precursors of financial instability in Russian Federation. Studies on Russian Economic Development, vol. 5, pp. 100–109 (in Russian).

65. Whitt J.A. Jr. (1988). Commodity prices and monetary policy. Federal Reserve Bank of Atlanta. Working Paper, no. 88, pp. 8.

66. Yamarone R. (2004). The trader's guide to key economic indicators. Moscow, Internet-Trading (in Russian).

67. Zarnowitz V., Boschan C. (1975a). Cyclical indicators: An evaluation and new leading indexes. Business Conditions Digest, May, pp. V–XXII.

68. Zamowitz V., Boschan C. (1975b). New composite indexes of coincident and lagging indicators. Business Conditions Digest, Nov., pp. V–XXIV.

69. Zarnowitz V., Moore G.H. (1977). The recession and recovery of 1973–1976. Explorations in Economic Research, no. 4 (4), pp. 472–557.

70. Zarnowitz V., Moore G.H. (1982). Sequential signals of recession and recovery. Journal of Business, no. 55 (1), pp. 57–85.

71. Zarnowitz V., Ozyildirim A. (2002). Time series decomposition and measurement of business cycles, trends and growth cycles. NBER Working Paper, no. 8736.


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Bogdanova A.L. Leading indicators as an instrument of economic forecasting. Economics of Contemporary Russia. 2018;(2):35-56. (In Russ.)

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