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QuantMaxxing on Instagram: "Continuous-time models in quantitative finance describe asset prices, interest rates, and risk factors as evolving smoothly over time using stochastic processes rather than discrete steps. These models are typically expressed through stochastic differential equations (SDEs) driven by Brownian motion or more complex processes, allowing quants to model randomness, volatility, and time-dependent behavior in a mathematically rigorous way. Classic examples include geometri
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QuantMaxxing on Instagram: "Continuous-time models in quantitative finance describe asset prices, interest rates, and risk factors as evolving smoothly over time using stochastic processes rather than discrete steps. These models are typically expressed through stochastic differential equations (SDEs) driven by Brownian motion or more complex processes, allowing quants to model randomness, volatility, and time-dependent behavior in a mathematically rigorous way. Classic examples include geometri
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