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This study aims to compare and analyze two representative generative AI platforms, OpenAI's Chat GPT-4o and Google's Gemini 1.5 Pro by examining their strengths and weaknesses in business, application, and technical aspects. By employing the BAT(Business, Application, Technical) analysis method, the study conducts an in-depth comparison on generative AI platforms such as ChatGPT and Gemini. The study not only reveals the strengths and weaknesses of existing generative AI platforms but also provides valuable insights into the future development directions of generative AI models. Through this research, we can better understand and utilize generative AI technology to adapt and embrace the upcoming AI revolution.

Insider trading has benefits for the capital markets as well as for the firms because of its tendency to correct the security prices, hence benefitting capital markets and firms with information precision and price accuracy. The price of a security is accurate only when it is set by the market forces, provided that all the information relevant to the security is disclosed to the public. This study empirically investigates the influence of Corporate Social Responsibility (CSR), Cost of Capital and Ownership Structure on Insider Trading, specifically in Pakistani Non-Financial Listed Companies. A theoretical contribution is made to the existing literature. This study uses Panel data; covering the period of 2013-2018 and 49 Non-Financial Listed companies out of 417. Data has been collected from Thomson Reuters DataStream and Firms’ Annual Reports. This study can be helpful for the scholars pursuing their research degrees and also for the investors as well as policy makers in terms of comprehending the various factors that might influence insider trading behaviour.