{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d256ceef73b746c19523b454c900e734\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d256ceef73b746c19523b454c900e734-829d251b500db734.jpg","duration":845.367,"title":"Understanding Normal Distribution and Skewness in Investments 📊","description":"In this video, I explain the concepts of normal distribution, skewness, and kurtosis in investment analysis using examples of fund A and fund B. I demonstrate how to calculate skewness and interpret the results, highlighting the implications of positive and negative skewness on investment risk. Additionally, I discuss kurtosis and its significance in assessing the peakedness of data distributions. No specific action is requested from viewers."}