Live Covid-19
United States 89,360,080
Cases: 89,360,080
Deaths: 1,042,678
Recovered: 84,916,391
Active: 3,401,011
India 43,471,282
Cases: 43,471,282
Deaths: 525,139
Recovered: 42,836,906
Active: 109,237
Brazil 32,358,451
Cases: 32,358,451
Deaths: 671,466
Recovered: 30,846,850
Active: 840,135
France 31,083,859
Cases: 31,083,859
Deaths: 149,533
Recovered: 29,620,989
Active: 1,313,337
Germany 28,293,960
Cases: 28,293,960
Deaths: 141,189
Recovered: 26,702,200
Active: 1,450,571
United Kingdom 22,720,345
Cases: 22,720,345
Deaths: 180,330
Recovered: 22,145,429
Active: 394,586
Italy 18,523,111
Cases: 18,523,111
Deaths: 168,353
Recovered: 17,469,969
Active: 884,789
Russia 18,433,394
Cases: 18,433,394
Deaths: 381,165
Recovered: 17,861,605
Active: 190,624
South Korea 18,368,857
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Deaths: 24,555
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Active: 139,561
Turkey 15,123,331
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Active: 19,050
Spain 12,734,038
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Vietnam 10,746,470
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Active: 1,022,065
Argentina 9,367,172
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Deaths: 129,070
Recovered: 9,163,334
Active: 74,768
Japan 9,329,520
Cases: 9,329,520
Deaths: 31,281
Recovered: 9,135,363
Active: 162,876
Netherlands 8,184,179
Cases: 8,184,179
Deaths: 22,378
Recovered: 8,063,483
Active: 98,318
Australia 8,162,153
Cases: 8,162,153
Deaths: 9,930
Recovered: 7,905,095
Active: 247,128
Iran 7,238,126
Cases: 7,238,126
Deaths: 141,389
Recovered: 7,062,657
Active: 34,080
Colombia 6,175,181
Cases: 6,175,181
Deaths: 140,070
Recovered: 5,984,546
Active: 50,565
Indonesia 6,090,509
Cases: 6,090,509
Deaths: 156,740
Recovered: 5,916,854
Active: 16,915
Mexico 6,034,602
Cases: 6,034,602
Deaths: 325,716
Recovered: 5,192,957
Active: 515,929
Poland 6,015,634
Cases: 6,015,634
Deaths: 116,429
Recovered: 5,335,673
Active: 563,532
Portugal 5,171,236
Cases: 5,171,236
Deaths: 24,149
Recovered: 4,745,321
Active: 401,766
Ukraine 5,017,038
Cases: 5,017,038
Deaths: 108,638
Recovered: 4,906,519
Active: 1,881
North Korea 4,744,430
Cases: 4,744,430
Deaths: 73
Recovered: 4,736,220
Active: 8,137
Malaysia 4,566,055
Cases: 4,566,055
Deaths: 35,765
Recovered: 4,500,856
Active: 29,434
Thailand 4,525,269
Cases: 4,525,269
Deaths: 30,667
Recovered: 4,470,490
Active: 24,112
Austria 4,438,883
Cases: 4,438,883
Deaths: 18,792
Recovered: 4,314,940
Active: 105,151
Israel 4,344,800
Cases: 4,344,800
Deaths: 10,958
Recovered: 4,259,884
Active: 73,958
Belgium 4,225,222
Cases: 4,225,222
Deaths: 31,903
Recovered: 4,122,858
Active: 70,461
South Africa 3,993,843
Cases: 3,993,843
Deaths: 101,793
Recovered: 3,880,462
Active: 11,588

Monetary Policy Decisions, Control of Money and Assets of Deposit Money Banks in Nigeria, 1981-2021. Auto Regressive Distributed Lag Model Approach

Monetary Policy Decisions, Control of Money and Assets of Deposit Money Banks in Nigeria, 1981-2021. Auto Regressive Distributed Lag Model Approach

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  • January 10, 2022
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ABSTRACT

The broad objective of the study is to investigate the impact of monetary policy decisions in stimulating the assets of deposit money banks in Nigerian from 1981-to 2021. While the specific objectives are to Measure the impact of interest rate spread on assets of deposit money banks in Nigeria. Determine the impact of the exchange rate on assets of deposit money banks in Nigeria. Investigate the impact of private sector credits on assets of deposit money banks in Nigeria. The model used in this study is Autoregressive distributed lag as a form of multiple regression models. It is a special type of regression called autoregressive distributed lag. Result reveals that the Interest rate had a negative and non-significant impact on assets of deposit money banks in Nigeria, Exchange rate had a positive and significant impact on assets of deposit money banks in Nigeria, the Inflation rate had a negative and non-significant impact on assets of deposit money banks in Nigeria. The implication of findings reveals that if the government fails in its monetary policy decisions, it will go a long way to affect deposit money banks and also the economy. The study concludes that monetary policy decisions play seriously significant effects on the assets of deposit money banks in Nigeria. It was recommended that government should create reasonable credit for the private sector and therefore regulates the interest rate to be charged. Exchange rate has a significant effect on Insurance profitability in Nigeria. This study recommends that public enlightenment campaigns should be done by the government directing people about the availability of money kept for agricultural loans and various credits to control the black market in the exchange rate. It was recommended that effective policies such as policies that will encourage manufacturers to have access to bank credits without democratic bottleneck will go a long way to provide efficiency in the system and hence improves or control inflation; however, gradual control of inflation through mopping up excess liquidity will be done by the monetary authorities to enhance the growth of deposit money bank assets.

Keywords: Monetary policy decisions; Deposit money bank; Autoregressive distributed lag, Exchange Rate

Authorship
Ezema, Clifford Anene. Ph. D and Ndunagu, Victor. Chidi Ph. D | Full PDF

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