Forecasting Lending Interest Rates of Commercial Banks in Cameroon with Autoregressive Integrated Moving Average (ARIMA) Model.

Q3 Economics, Econometrics and Finance International Journal of Economic Policy in Emerging Economies Pub Date : 2023-10-26 DOI:10.47941/ijecop.1483
Samuel Ringmu Huboh, Mom Aloysius Njong, Daniel Tambi Mbu
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 Methodology: Historical time series of lending interest rates in the banking sector in Cameroon were analysed for the period 1972 to 2023. The Box-Jenkins methodology was used to analyse the time Series data.
 Findings: It was revealed that 76.75% of the variation in Lending interest rates in Cameroon is accounted for by the lending interest rates for the past 52 years, the inflation rate for the past 52 years and the GDP for the last 52 years. Therefore, an increase in lending interest rates 52 years ago by one unit will increase lending interest rates today by 0.808 units. Similarly, an in increase in inflation by one unit will reduce lending interest rates by 0.002 units. In addition, an increase in GDP by one unit will reduce lending interest rates by 0.000001 unit. The ARIMAX (1,1,4) demonstrated to be more robust. Therefore, lending interest rates in Cameroon will reduce with time as from the year 2023 to 2027 and above. Investors are encouraged to borrow from the banks and invest within this time frame.
 Unique Contribution to Theory Practice and Policy: Long and varying lags of interest rates separate the effects of monetary policy from the economy and has caused a lot of unemployment in any society. The degree to which interest rates rise has pulled down the economy is alarming. This can be seen in businesses, economic projections, and spending. More businesses report that interest rates have reduced their capital and non-capital spending expectations compared to 2022. A further indication that the impact of higher interest rates has yet to be fully felt is evidence that keeping the existing policy course will limit the spending activity of more enterprises. Monetary policy has surpassed all other concerns for finance executives in the past quarter. Survey participants mentioned interest rates in their decision to cut spending. The study provides a unique way of comparing results of interest rates using a traditional time series model to a typical Interest rate model.BEAC should chose an accommodating monetary policy centred on decreasing the already high interest rate and injecting cash into CEMAC savings in response to the economic shock currently existing in Cameroon.","PeriodicalId":38704,"journal":{"name":"International Journal of Economic Policy in Emerging Economies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Economic Policy in Emerging Economies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47941/ijecop.1483","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
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Abstract

Purpose: Lending Interest rate prediction is one of the most relevant aspects in the banking sector and a country’s economy. Lending is an important variable within this sector since economic and market conditions vary over time. Efficient methods are needed to describe the trends and characteristics of lending interest rate. The performance of different time series models for analysis of lending interest rates of commercial banks in Cameroon is provided to determine the feasibility of method for the generation of results in the wake of economic decisions. Methodology: Historical time series of lending interest rates in the banking sector in Cameroon were analysed for the period 1972 to 2023. The Box-Jenkins methodology was used to analyse the time Series data. Findings: It was revealed that 76.75% of the variation in Lending interest rates in Cameroon is accounted for by the lending interest rates for the past 52 years, the inflation rate for the past 52 years and the GDP for the last 52 years. Therefore, an increase in lending interest rates 52 years ago by one unit will increase lending interest rates today by 0.808 units. Similarly, an in increase in inflation by one unit will reduce lending interest rates by 0.002 units. In addition, an increase in GDP by one unit will reduce lending interest rates by 0.000001 unit. The ARIMAX (1,1,4) demonstrated to be more robust. Therefore, lending interest rates in Cameroon will reduce with time as from the year 2023 to 2027 and above. Investors are encouraged to borrow from the banks and invest within this time frame. Unique Contribution to Theory Practice and Policy: Long and varying lags of interest rates separate the effects of monetary policy from the economy and has caused a lot of unemployment in any society. The degree to which interest rates rise has pulled down the economy is alarming. This can be seen in businesses, economic projections, and spending. More businesses report that interest rates have reduced their capital and non-capital spending expectations compared to 2022. A further indication that the impact of higher interest rates has yet to be fully felt is evidence that keeping the existing policy course will limit the spending activity of more enterprises. Monetary policy has surpassed all other concerns for finance executives in the past quarter. Survey participants mentioned interest rates in their decision to cut spending. The study provides a unique way of comparing results of interest rates using a traditional time series model to a typical Interest rate model.BEAC should chose an accommodating monetary policy centred on decreasing the already high interest rate and injecting cash into CEMAC savings in response to the economic shock currently existing in Cameroon.
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用自回归综合移动平均(ARIMA)模型预测喀麦隆商业银行贷款利率。
目的:贷款利率预测是银行业和一个国家经济最相关的方面之一。贷款是该部门的一个重要变量,因为经济和市场情况随时间而变化。需要有效的方法来描述贷款利率的趋势和特征。提供了喀麦隆商业银行贷款利率分析的不同时间序列模型的性能,以确定在经济决策之后产生结果的方法的可行性。 方法:分析了1972年至2023年期间喀麦隆银行业贷款利率的历史时间序列。Box-Jenkins方法用于分析时间序列数据。 研究发现:喀麦隆贷款利率变化的76.75%是由过去52年的贷款利率、过去52年的通货膨胀率和过去52年的GDP造成的。因此,52年前的贷款利率每增加1个单位,今天的贷款利率就会增加0.808个单位。同样,通货膨胀每增加1个单位,贷款利率就会降低0.002个单位。此外,GDP每增加一个单位,贷款利率就会降低0.000001个单位。ARIMAX(1,1,4)被证明具有更强的鲁棒性。因此,从2023年到2027年及以上,喀麦隆的贷款利率将随着时间的推移而降低。鼓励投资者向银行借款,并在此期限内进行投资。对理论、实践和政策的独特贡献:长期和变化的利率滞后使货币政策的效果与经济分离,并在任何社会造成大量失业。利率上升对经济的拖累程度令人担忧。这可以在商业、经济预测和支出中看到。更多的企业报告称,与2022年相比,利率降低了他们的资本和非资本支出预期。加息的影响尚未被充分感受到的另一个迹象是,有证据表明,保持现有的政策路线将限制更多企业的支出活动。在过去一个季度,货币政策已经超过了金融高管的所有其他担忧。调查参与者在决定削减开支时提到了利率。该研究提供了一种独特的方法来比较使用传统时间序列模型和典型利率模型的利率结果。中非共同体应选择一种宽松的货币政策,其重点是降低已经很高的利率,并向中非共同体的储蓄注入现金,以应对喀麦隆目前存在的经济冲击。
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来源期刊
International Journal of Economic Policy in Emerging Economies
International Journal of Economic Policy in Emerging Economies Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.50
自引率
0.00%
发文量
75
期刊最新文献
Forecasting Lending Interest Rates of Commercial Banks in Cameroon with Autoregressive Integrated Moving Average (ARIMA) Model. Investing for More than Just Money: The Non-Utilitarian Benefits of Investments Effect of Diaspora Remittances on Economic Development in Kenya Impact of Refined Crude Oil Imports on Carbon Dioxide Emission (C02) in Nigeria The Nexus between Capital Flight and Economic Growth. A Panel Data Investigation of the Mediating Role of Inflation (Kenya: 1986-2021)
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