Democracy and Corruption Causality in Indonesia

The objective of this study is to analyze the causality between democracy and corruption in Indonesia for the period of 1995 to 2017. This study perform a multivariate cointegration test with government expenditure as a control variable and cross-check this long-run relationship with an Autoregressive Distributed Lag (ARDL) model approach to cointegration beside multivariate approach proposed by Johansen & Juselius. The results show that there is cointegration among the variables specified in the model of corruption equation when government expenditure is taken into account. Indeed, for corruption and democracy to move together in the long run, they need to be associated with government expenditure. The tests for Granger Causality conducted show a long-run causality running from democracy and government expenditure to corruption. In other word, the democracy and government expenditure Granger cause corruption and not the reverse. In short-run, there is neutrality causation between democracy and corruption.

Fraud and Bank Performance in Nigeria – Var Granger Causality Analysis

This paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen’s Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between the variables. Bank performance was found to be linked to Granger fraud variables and vice versa at 10% significant level. This study reveals that there was a direct causal relationship between bank performance and fraud because increase in fraudulent activities in the banking sector leads to reduction in bank performance. Hence, this study recommends that internal control systems of banks should be strengthened so as to detect and prevent fraud. In this way, bank assets would be protected.