Yil
|
T/r
|
Narx, P1
|
Talab, D2
|
Taklif, S3
|
2008
|
1
|
99.67
|
85,8
|
83,069
|
2009
|
2
|
61.95
|
84,3
|
81,578
|
2010
|
3
|
79.48
|
86,4
|
83,409
|
2011
|
4
|
94.88
|
89,0
|
84,157
|
2012
|
5
|
94.05
|
89.8
|
86,366
|
2013
|
6
|
97.98
|
91,8
|
86,794
|
2014
|
7
|
93.17
|
92,7
|
88,910
|
2015
|
8
|
48.66
|
94,9
|
91,733
|
2016
|
9
|
43.29
|
96,2
|
92,072
|
2017
|
10
|
50.80
|
97,9
|
92,798
|
2018
|
11
|
65.23
|
99,3
|
95,254
|
2019
|
12
|
56.99
|
100,1
|
95,192
|
Amaliy qism.
|
, (D)
|
(S)
|
|
|
|
|
1
|
85,8
|
83,069
|
7276,09
|
6809,385
|
7038,871
|
|
2
|
84,3
|
81,578
|
7447,69
|
6943,889
|
7191,379
|
|
3
|
86,4
|
83,409
|
7361,64
|
6900,459
|
7127,32
|
|
4
|
89,0
|
84,157
|
7106,49
|
6627,588
|
6862,863
|
|
5
|
89.8
|
86,366
|
7464,96
|
6931,395
|
7193,232
|
|
6
|
91,8
|
86,794
|
7921
|
7056
|
7476
|
|
7
|
92,7
|
88,910
|
8064,04
|
7435,268
|
7743,274
|
|
8
|
94,9
|
91,733
|
8427,24
|
7507,703
|
7954,195
|
|
9
|
96,2
|
92,072
|
8593,29
|
7874,078
|
8225,827
|
|
10
|
97,9
|
92,798
|
9006,01
|
8380,853
|
8687,81
|
|
11
|
99,3
|
95,254
|
9254,44
|
8431,28
|
8833,276
|
|
12
|
100,1
|
95,192
|
9584,41
|
8556,62
|
9055,946
|
|
|
1108,2
|
1061,332
|
102664
|
94130,67
|
98301,32
|
|
Mana shu normal sistemadan foydalanib, hisoblaymiz:
Modelimizda kelib chiqqan grafikdagi nuqtalarning joylanish zichligini chiziqli korrelyastiya koeffitsiyenti ni hisoblaymiz:
.
Foydalanilgan adabiyotlar:
Almutairi, H., El-Sakka, M.I.T. (2016), Determinants of housing prices in an oil based economy. Asian Economic and Financial Review, 6(5), 247-260.
DOE, U., Admin, E.I. (2005). Annual Energy Outlook 2005, with Projections to 2025. DOE/EIA, 383.
Aregbeyen, O., Fasanya, I.O. (2017), Oil price volatility and fiscal behaviour if government in Nigeria. Asian Journal of Economic Modelling, 5(2), 118-134.
Bai, X., Russell, J.R., Tiao, G.C. (2002), Kurtosis of GARCH and stochastic volatility models with non-normal in- novations. Journal of Econometrics, 114(2), 349-360.
Bernanke, B.S., Boivin, J., Eliasz, P. (2008), Measuring the effects of monetary policy: Afactor-augmented vector autoregressive (FAVAR) approach. Quarterly Journal of Economics, 120(1), 387-422.
Chevalier, J.M., Baule, F., Lasserre, F., Odonnat, I., Viellefond, E., Laffitte, M. (2010), Report of the Working Group on Oil Price Volatility. French Ministry for the Economy, Industry and Employment.
Energy Information Administration, 2008-2019.
Fattouh, B. (2007), The drivers of oil prices: The usefulness and limitations of non-structural models, supply-demand frameworks, and informal approaches. EIB Papers, 12(1), 128-156.
Statistik ma’lumotlar manbalari:
https://www.macrotrends.net/2516/wti-crude-oil-prices-10-year-daily-chart
https://www.statista.com/statistics/271823/daily-global-crude-oil-demand-since-2006/
https://www.statista.com/statistics/265203/global-oil-production-since-in-barrels-per-day/
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