This study investigated the efficiency of the Nepal Stock Market, focusing on both weak and semi-strong forms of market efficiency, considering the impact of weekends on stock returns. Additionally, the research examined investor decision-making by utilizing four key variables: earnings announcements, dividend announcements, insider information, and intrinsic stock value. The study encompassed a sample of 86 investors active on the Nepal Stock Exchange (NEPSE) to examine factors influencing investment decisions via questionnaire. Furthermore, a secondary data source comprising 20 NEPSElisted companies were utilized to analyze the weak form efficiency, semi-strong form efficiency, and weekend impact within the banking and financial sectors. This sample encompassed five companies, each from commercial banks, development companies, finance companies, and microfinance. The research methodology included the event study method by utilizing three distinct models: the mean adjusted return model (MAR), the market adjusted model (MKRM), and the risk-adjusted model (RAR) to assess semi-strong form efficiency, non-parametric tests (run and autocorrelation) to assess weak form efficiency, and regression analysis with dummies to analyze weekend impact. In addition, correlation and regression analysis have been utilized to investigate the investment decisions of investors. The findings suggested that the Nepalese stock market is weak form efficient but not semi-strong form efficient, indicating that investors cannot expect abnormal returns. However, exceptions exist: NMBMF (not weak form efficient) and SCB and MNBBL (semi-strong efficient) by using the MAKR and RAR models. Results from primary data have highlighted that only two variables (EV and IV) significantly influence investors' decisions, suggesting intrinsic value and earning announcements impact decisions; conversely, DA and II show no significant impact. In regards to the weekend impact, there is no weekend effect in the Nepalese stock market. These findings hold significance for investors, policymakers, and brokerage firms, offering valuable insights for further research endeavors.How to cite this paper: Paneru, B. P.