ABSTRACT
Motivated by the cashless policy drives of the Central Bank of Nigeria to digitalize the Nigerian payment system and the quest for ensuring financial stability, this paper examined the nexus between financial innovations and financial stability in Nigeria. The paper employed disaggregated and aggregated indices in measuring financial innovation and financial stability and analyzed the data using the Dynamic Ordinary Least Square (DOLS). The paper conducts robustness checks using the Autoregressive Distributed Lag (ARDL) model and by employing alternative proxies. The result indicates the presence of a long-run equilibrium relationship between disaggregated measures of financial stability and financial innovation. The outcome was consistent using alternative methods. However, the study also finds the absence of a long-run equilibrium relationship between the aggregated proxy of financial innovation and financial stability, nonetheless, other bank-base and macroeconomic indicators appear to influence financial stability. The impact of the various measures of financial innovation on financial stability appears to be mixed in both the main and robustness analysis, implying that technology-based financial products promote financial stability but are associated with a cost. Therefore, the Central Bank of Nigeria is encouraged to incentivize the use of financially innovative channels toward enhancing the stability of the Nigerian financial system, while employing appropriate prudential tools to safeguard any unsavoury consequences of innovation.

ABSTRACT
This study aims to examine the effect of board size, gender diversity, and government ownership on earnings management with financial performance as a moderating variable. The population used in this study were state-owned companies listed on the Indonesia Stock Exchange with a total of 14 companies. The sample in this study used a purposive sampling method so that based on the selection results, 11 companies were obtained as samples in this study, with a research period from 2018 - 2022. Data analysis used in this study is panel data with multiple regression analysis methods and using the EVIEWS 12 application as a tool to determine the hypothesis. The results of the study indicate that board size has negative effect on earnings management, gender diversity has positive effect on earnings management, government ownership has negative effect on earnings management, financial performance is unable to moderate board size on earnings management, financial performance is able to moderate gender diversity on earnings management, and financial performance is able to moderate government ownership on earnings management.