This study aims to fill the literature gap by examining the diversification opportunities and resilience. The study included selected logistics stocks in the Indian market during the pre- and post-COVID-19 era. The study explores diversification opportunities through the application of the Time-Varying Parameter Vector Auto regression. For the robustness of the analysis, the study further applied wavelet coherence. Network analysis has been conducted to gauge the most promising stocks to assess resilience and potential for diversification. The results of the study capture one of the logistics stocks, i.e., Lancer demonstrates resilience to external shocks and has the least impact on the volatilities of other asset classes. The results of wavelet coherence, VRL Logistics and TCI Express exhibit evidence of diversification, particularly in the post-outbreak period. The findings of the study provide valuable insights for stakeholders seeking to strategically select logistics stocks for their portfolios. The study is also well aligned with UNSDG 11 by providing resilient and sustainable logistics stocks for portfolio managers.