How Potent Is the Required Reserves Tightening Shock Impact on Funding and Consumer Interest Rates?

2021 ◽  
pp. 275-287
Author(s):  
Nombulelo Gumata ◽  
Eliphas Ndou
Keyword(s):  
Interest Rates ◽  
Consumer Interest ◽  
Shock Impact

scholarly journals PREDIKSI MINAT KONSUMEN TERHADAP PRODUK PERUSAHAAN DIRECET SELLING TIANSHI MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN)

JURTEKSI ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 11-18
Author(s):  
Khairunnisa Samosir
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Interest Rates ◽  
High Demand ◽  
Consumer Interest ◽  
Sales Data ◽  
Health Products ◽  
Artificial Neural ◽  
Artificial Neural Network Ann ◽  
A Company

Abstract: Tiansi is a company that markets health products. This company has difficulty predicting people's interest in products that are in high demand. By knowing precisely the consumer interest in the product, it will increase sales. The research aims to predict consumer interest in Tiansi products appropriately. The method used is one of the Artificial Neural Network (ANN) techniques, namely Backpropagation with Momentum. The sales data tested were sourced from Stockist 319 Padang. The results of this research that can precisely determine consumer interest are architecture 5-2-1 and 5-3-1. So that this research is very helpful in the procurement of goods to increase the value of sales. Keywords: Artificial neural network, backpropagation, consumer  interest rates, predictions.  Abstrak: Tiansi merupakan sebuah perusahaan yang memasarkan produk-produk kesehatan. Perusahaan ini mengalami kesulitan dalam memprediksi minat masyarakat terhadap produk yang sangat diminati. Dengan mengetahui dengan tepat minat konsumen terhadap produknya, maka akan dapat meningkatkan penjualan. Penelitian ini bertujuan untuk memprediksi minat konsumen terhadap produk Tiansi dengan tepat. Metode yang digunakan salah satu teknik Artificial Neural Network (ANN), yaitu Backpropagation dengan Momentum. Data penjualan yang diuji bersumber dari Stokist 319 Padang. Hasil dari penelitian ini yang dapat dengan tepat menentukan minat konsumen adalah arsitektur 5-2-1 dan 5-3-1. Sehingga penelitian ini sangat membantu sekali dalam pengadaan barang untuk meningkatkan nilai penjualan. Kata kunci: Jaringan Syaraf Tiruan, Backpropagation, prediksi, minat konsumen, penjualan.

Economic effects of monetary policy in Russia: What do large datasets tell us?

2020 ◽  
pp. 31-53 ◽  
Author(s):  
Anna A. Pestova ◽  
Natalia A. Rostova
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Interest Rates ◽  
Economic Activity ◽  
Global Financial Crisis ◽  
Exchange Rate Regime ◽  
Aggregate Demand ◽  
Economic Effects ◽  
Theoretical Concepts ◽  
Empirical Estimates

Is the Bank of Russia able to control inflation and, at the same time, manage aggregate demand using its interest rate instruments? In other words, are empirical estimates of the effects of monetary policy in Russia consistent with the theoretical concepts and experience of advanced economies? This paper is aimed at addressing these issues. Unlike previous research, we employ “big data” — a large dataset of macroeconomic and financial data — to estimate the effects of monetary policy in Russia. We focus exclusively on the period after the 2008—2009 global financial crisis when the Bank of Russia announced the abandoning of its fixed ruble exchange rate regime and started to gradually transit to an interest rate management. Our estimation results do not confirm standard responses of key economic activity and price variables to tightening of monetary policy. Specifically, our estimates do not reveal a statistically significant restraining effect of the Bank of Russia’s policy of high interest rates on inflation in recent years. At the same time, we find a significant deteriorating effect of the monetary tightening on economic activity indicators: according to our conservative estimates, each of the key rate increases occurred in March and December 2014 had led to a decrease in the industrial production index by about 0.2 percentage points within a year.

Perspectives on inflation Targeting Regime in Russia

2014 ◽  
pp. 107-121 ◽  
Author(s):  
S. Andryushin
Keyword(s):  
Monetary Policy ◽  
Financial Markets ◽  
Interest Rates ◽  
Inflation Targeting ◽  
Short Term ◽  
Indirect Control ◽  
Financial Account ◽  
Domestic Prices ◽  
Macroeconomic Indicators ◽  
Private And Public

The paper analyzes monetary policy of the Bank of Russia from 2008 to 2014. It presents the dynamics of macroeconomic indicators testifying to inability of the Bank of Russia to transit to inflation targeting regime. It is shown that the presence of short-term interest rates in the top borders of the percentage corridor does not allow to consider the key rate as a basic tool of monetary policy. The article justifies that stability of domestic prices is impossible with-out exchange rate stability. It is proved that to decrease excessive volatility on national consumer and financial markets it is reasonable to apply a policy of managing financial account, actively using for this purpose direct and indirect control tools for the cross-border flows of the private and public capital.

Monetary policy regimes in Russia: Guidelines for furtherquantitative studies

2017 ◽  
pp. 38-60 ◽  
Author(s):  
A. Pestova
Keyword(s):  
Monetary Policy ◽  
Exchange Rate ◽  
Interest Rates ◽  
Quantitative Research ◽  
Policy Regimes ◽  
Policy Effects ◽  
Exchange Rate Targeting ◽  
Basic Parameters

This paper analyzes the basic parameters of monetary policy in 2000-2015 in Russia. We provide the overview of tools and objectives of monetary policy of the Bank of Russia and identify the periods of homogeneity of monetary policy regimes: from money base targeting to exchange rate targeting and finally, to interest rates policy. On the basis of this research we develop the recommendations for further quantitative research aimed at estimation of monetary policy effects in Russia.

Strategi Pengelolaan Risiko dan Peningkatan Kualitas Pengelolaan Kas Negara

2017 ◽  
Vol 2 (2) ◽  
pp. 43-54
Author(s):  
Agung Mulyono
Keyword(s):  
Interest Rates ◽  
Financial Risk ◽  
Vector Autoregression ◽  
Secondary Market ◽  
Key Factors ◽  
Bond Price ◽  
Hedging Strategy ◽  
Foreign Loan ◽  
Term Operation ◽  
Loan Interest Rates

Cash management is  one of treasury’s main functions in which has a potential financial risk. A potential financial risk emerges when State Treasurer manages cash surplus and or/ shortages in order to maintain optimum liquidity. By applying Vector Autoregression (VAR) system on empirical data provided by Bank Indonesia and the Ministry of Finance of Indonesia, we found that currency value  flunctuation is a significant factor for repayment value of foreign loan. Interest rates and amount of government’s bond held by foreign investors are also variables impacted on government’s bond price movement in secondary market. Currency value  flunctuation and price of government’s bond in secondary market are the key factors that have to be considered by State Treasurer (BUN) in managing state’s money. Hedging strategy by using derivatif product is possible to be utilized by State Treasurer (BUN) due to it’s flexibility for short-term operation.   Abstrak Pengelolaan kas negara merupakan salah satu fungsi pokok perbendaharaan yang dalam proses pelaksanaannya menyimpan potensi berbagai risiko keuangan. Risiko keuangan, khususnya dalam investasi berpotensi muncul ketika Bendahara Umum Negara (BUN) melakukan kegiatan pengelolaan kelebihan dan/ kekurangan kas dalam rangka menjamin ketersediaan dan optimalisasi kas. Dengan menggunakan analisis Vector Autoregression (VAR) atas data empiris yang diperoleh dari Bank Indonesia dan Kementerian Keuangan Indonesia, penulis menemukan bahwa fluktuasi nilai tukar mata uang merupakan faktor yang signifikan terhadap besaran pembayaran utang luar negeri pemerintah. Tingkat suku bunga acuan dan pergerakan besaran kepemilikan SUN oleh investor asing juga merupakan variabel yang berpengaruh terhadap pergerakan harga SUN di pasar sekunder. Fluktuasi nilai tukar mata uang dan pergerakan harga SUN di pasar sekunder menjadi faktor penting dalam pelaksanaan investasi yang dilakukan BUN dalam rangka pengelolaan kelebihan dan/ kekurangan kas. Berdasarkan hasil tersebut, strategi pengelolaan risiko atau hedging dengan menggunakan produk-produk derivatif dalam pengelolaan kelebihan dan/ kekurangan kas jangka pendek – menengah sangat dimungkinkan karena sifat instrumen derivatif yang fleksibel.

DAMPAK KEBIJAKAN FISKAL TERHADAP KINERJA SEKTOR PERTANIAN DI SULAWESI TENGGARA

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
La Ode Jabuddin ◽  
Ayub M Padangaran ◽  
Azhar Bafadal Bafadal
Keyword(s):  
Fiscal Policy ◽  
Interest Rates ◽  
Agricultural Sector ◽  
Simultaneous Equations ◽  
Poor People ◽  
Land Area ◽  
Factors Affecting ◽  
Historical Simulation ◽  
The Impact ◽  
Direct Expenditure

This study aims to: (1) Knowing the dynamics of fiscal policy and the performance of the agricultural sector, (2) Analyze the factors that influence fiscal policy and the performance                   of the agricultural sector, and (3) Analyzing the impact of fiscal policy on the performance of the agricultural sector. The data used in this study were pooled 2005-2013 data in the aggregate. Econometric model the impact of fiscal policy on the performance of the agricultural sector is built in the form of simultaneous equations, consisting of 7 equations with 25 total variables in the model, 7 endogenous variables, 12 exogenous variables, and 6 variables lag. The model is estimated by 2SLS method SYSLIN procedures and historical simulation with SIMNLIN procedure.The results showed that: (1) The development of fiscal policy in Southeast Sulawesi from year to year tends to increase, (2) The performance of the agricultural sector from the aspect of GDP has decreased, from the aspect of labor is still consistent, in terms of investment to grow positively, and assign roles which means to decrease the number of poor people, (3) factors affecting fiscal policy is local revenues, equalization funds, other revenues, as well as the lag fiscal policy, (4) the factors that affect the performance of the agricultural sector from the aspect GDP is labor, direct expenditure and GDP lag; from the aspect of labor is the total labor force, investment, land area, direct expenditure, as well as the lag of labor; from the aspect of investment is influenced by GDP per capita, land area, interest rates and investment lag; as well as from the aspect of poor people, are affected by population, investments, direct expenditure and poverty lag, (5). Fiscal policy impact on the agricultural sector GDP increase, a decrease in the number of poor, declining agricultural laborers, and a decrease in the amount of investment in the agricultural sector.Keywords: Fiscal policy, the performance of the agricultural sector, the simultaneous equations

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