34 research outputs found
Asymmetric Price Transmission of Some Basic Commodities in Indonesia
No full textThe prices of these international goods, world oil prices, exchange rates, and government policies, always influence developments in the current global era that drive domestic commodity prices. This study aims to analyze the effect of asymmetric price transmission on several Indonesian domestic commodities. Asymmetric price transmission occurs if the speed of price adjustment above or below the price trend is not the same. Positive or negative price changes occur if the price is above or below the price trend. Under dynamic conditions, each price will adjust to the long-term price level. This study applies the error correction model (ECM) method to capture the speed of adjustment of each commodity following the long-term price level. This study involves asymmetric price transmission to see price adjustments. Econometric testing through the error correction model is used to determine how much the domestic price adjustments are when there is an increase or decrease in international prices for essential commodities. The results showed an adjustment in domestic prices when global prices increased or decreased for wheat flour, granulated sugar, soybeans, beef, and broiler meat. Based on the coefficient and significance level, there was no domestic price adjustment for rice and broiler chicken eggs. Policy implications include providing input for policymakers in determining prices so that market prices are stable and in line with people's purchasing power
MACROECONOMIC CONDITION AND BANKING INDUSTRY PERFORMANCE IN INDONESIA
No full textThe ratio of non-performing loan (NPL) and capital adequacy ratio (CAR) is still a measure of bank soundness in various countries including Indonesia. Interdependence acros bank’s condition, diversity of the size, market structure within banking industry, and macroeconomic variables, may be very complex and dynamic. This paper utilizes the advantage of PVAR model on capturing this complexity to analyze the dynamic relationship between the macroeconomic variables and the soundness of the banks. The result shows NPL of banks with small asset will increases rapidly when interest rate fluctuates. For banks with large asset, the increase in interest rates leads to larger reduction on their CAR. On the other hand, the result shows banks with smaller capital are less able to adapt quickly to an increase in NPL due to exchange
rate depreciation, therefore banks with smaller capital should be cautious about the exchange rate risk
Analysis of the macroeconomic impact towards the NPL National Banking in Indonesia : the study of macro-economic shock using vector autoregression models
No full textThis paper specifically examines the macroeconomic impact of the NPL of individual banks using dynamic analysis.
Model PVAR proposed as an analytical tool because of its advantages analyze the interdependence between banks in a group of commercial banks in conducting business activities (BOOK), considering the heterogeneity of the bank, the factors that make up the diversity of the bank (unobservable variables), analytical transmission ortogonalisasi Cholesky as well and dynamics of the relationship between variables macro with the bank's internal variables.
This method will be very useful for dynamic studies of individual data bank in the banking industry.peer-reviewe
Misinvoicing analysis in ASEAN-China free trade agreement (ACFTA)
No full textThis paper specifically examines the Smuggling that occurred between Indonesia and the ACFTA member countries can be seen from the import-export trade gap. Smuggling occurs because the attempt to avoid tariffs, resulting in the manipulation of incoming documents, both in terms of quantity and price of imported goods. The policy change tariff rates on ACFTA cooperation and increase financial penalties affecting allegedly smuggling. This study uses a fixed effect panel data regression to analyze the policy change. The results obtained are: 1. The reduction of smuggling after the application of policy to reduce tariff rates on ACFTA cooperation, and 2. A decrease in smuggling after the implementation of the policy of increasing the maximum financial penalties.peer-reviewe
The Impact of Banking Competition on Bank Financial Stability: Evidence from ASEAN 5 Countries
No full textIn the era of the global economy, increasing banking competition will encourage an increase in banking transactions and activities. Banking transactions and activities will affect a country\u27s financial stability. The purpose is to obtain the nonlinear effect of banking competition on financial stability at a specific regime. Previous research assumed that this impact applies to every economic regime. The impact of banking competition on financial stability can change at certain regime levels. Nonlinear impact occurs according to the regime. The method is based on a nonlinear threshold regression model. The researchers obtained the data from five ASEAN countries. The findings of this research are in-depth information about the financial system stability model. Analysis of the effect of variance supports the inconsistency of the effects found by several previous researchers. Practical implications are aimed at policymakers to make different decisions at the GDP level, CAR and Liquidity. The economic regime in each country is different, so this analysis is constructive for policymakers to see the conditions of banking competition and financial system stability at a certain regime level. The originality article systematically offers an analysis that assumes the effect can change at a certain regime level.JEL Classification: E5, G15, G01, G32, C24How to Cite:Ekananda, M. (2023). The Impact of Banking Competition on Bank Financial Stability: Evidence from ASEAN 5 Countries. Etikonomi, 22(2), 409 – 428. https://doi.org/10.15408/etk.v22i2.31003
The Nonlinear Impact of Payment System Innovation on Financial System Stability in the ASEAN-4 Countries
No full textThe increasing growth of financial system encourages payment system innovation that can affect financial system stability, particularly in ASEAN countries. This study explored a variety of payment system innovation, i.e. debit cards, credit cards, electronic money, and RTGS. The financial system stability index is measured by calculating the composite indexes of non-performing loans, Z-score from ROA and CAR, share price volatility, and yield bonds. The components of the indexes are structured to reflect risks from the banking, stock, and bond markets. The resulting index value indicates the level of risk in the financial system. A higher index specifies a higher risk and a more vulnerable financial system. Furthermore, it is noted that the effects of the independent variable can change according to economic conditions. The panel threshold model was applied to calculate the effects of various regimes, namely innovation, GDP, credit ratio, and stability index. The panel data were obtained from the ASEAN-4 countries (Indonesia, Malaysia, Thailand, and the Philippines) from 2012 to 2020. The panel threshold analysis shows an increase in the value of debit card, credit card, and RTGS transactions. Specifically, innovation and GDPR negatively affect the stability index. Increasing the value of payment system innovation will decrease the risk to financial system stability in ASEAN countries. The monetary authorities of each country can implement these findings by considering the rapid development of payment system innovation and the danger it may pose to financial system stability
Regresi Ambang untuk Mendalami Pengaruh Nonlinier Kekuatan Pasar terhadap Pinjaman Bank di ASEAN-5
No full textCredit distribution has developed rapidly in the ASEAN region and it is largely dominated by the banking sector compared to other financial institutions. This study explores the effects of various changes to the GDP growth regime, firm size, and monetary policy. The objects of this research are commercial banks in ASEAN-5 from year 2010 to 2019. This study utilises the threshold regression method and a single proxy to measure market power. Results of this study found that monetary policy and market forces affect productive credit. Changes in impact that occur are mostly due to different behavior between banks in response to different regulations. In addition, the response of economic actors differs on different levels of GDP growth and monetary policies
The Analysis of the Implementation of European Union Food Safety Standards the Export of Nutmeg, Pepper, Ginger, Cinnamon and Coffee from Indonesia
No full textDynamization Analysis of Capital Inflow, Credit Allocation, and Banking Performance using Panel Vector Autoregressive
No full textThe direction of globalization and the integration of the financial system continue to increase, in line with the increasing capital flows, which is the focus of discussion in this research. This study applies panel data analysis to analyze banking behavior in order to improve its performance. The analysis uses panel data from 1991 to 2020 in 39 countries. Return on Equity (ROE) as a measure of the success of banking operations is determined by various interrelated factors. One of the variables closely related to banking performance is the share of non-financial business loans, the share of capital inflows entering the banking sector, and the share of capital inflows entering the non-bank sector. Economic variables that support good banking performance are GDP growth, bank concentration, inflation, leverage, and bank efficiency. This article applies a Panel Vector Autoregressive to capture the dynamization, and heterogeneity. The most exciting results were obtained by dividing the sample into subgroups, which helped the researcher understand each regime's different roles and transmissions. The changes in capital inflows to the non-bank sector will significantly reduce ROE and increase leverage for the next five periods. The results of the study imply that nowadays, bank managers should be aware while the changes in capital inflows change very quickly. Bank managers in countries with high capital inflows must always be aware of changes in capital inflows to the non-bank sector—steps to bank management by diversifying sources of funds efficiently from other parties in the transmission of credit channel
The Autoregressive Distributed Lag Model to Analyze Soybean Prices in Indonesia
No full textThe main objective of this study was to observe factors that affecting domestic soybean prices, including government intervention through BULOG. By using Bound Testing Cointegration method with ARDL approach. In the short term the world soybean price variables in the t-period and exchange rate affect the domestic soybean prices positively and significantly. The variable volume of soybean imports, GDP, and the role of BULOG as sole importer in the t-period does not affect the domestic soybean price significantly. In the long run, the t-period import tariff has a negative and significant effect
