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Model risk in mean-variance portfolio selection: an analytic solution to the...

In this paper we consider the worst-case model risk approach described in Glasserman and Xu (2014). Portfolio selection with model risk can be a challenging operational research problem. In particular,...

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Financial Market Directional Forecasting With Stacked Denoising Autoencoder....

Forecasting stock market direction is always an amazing but challenging problem in finance. Although many popular shallow computational methods (such as Backpropagation Network and Support Vector...

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Artificial boundary method for the solution of pricing European options under...

This paper considers the valuation of a European call option under the Heston stochastic volatility model. We present the asymptotic solution to the option pricing problem in powers of the volatility...

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To meet its ambitious ‘net zero’ target, the UK will need to ramp...

UK greenhouse gas emissions are declining and have been declining for some time. The UK has a framework of long-run targets developed by the Committee on Climate Change, an independent body of experts...

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A structural Heath–Jarrow–Morton framework for consistent...

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A Cointegrated VAR Analysis of Stock Price Models: Fundamentals, Psychology...

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Potential Underdog Bias, Overconfidence and Risk Propensity in Investor...

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MoneyScience: Online Training - Financial Derivatives: A Quantitative Finance...

Resource: Online Training: Financial Derivatives: A Quantitative Finance View https://t.co/Kv4nj1xpY8 — moneyscience (@moneyscience) December 2, 2019

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Virgil Griffith arrested over North Korea visit — engineer arrogance,...

“After a well-received technical talk to a keen audience on the other side of the world, Ethereum Foundation developer Virgil Griffith is on the short list for…

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MoneyScience: Quantitative Finance in Javascript

Resource: Quantitative Finance in Javascript https://t.co/tJNhSjiqcH — moneyscience (@moneyscience) December 2, 2019

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QuantLib Download Page

QuantLib 1.17 has been released and is available for download at https://t.co/vSeX4O37zd #QuantLib #quant #quantfinance #finance — moneyscience (@moneyscience)…

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MoneyScience: Online Training - Quantitative Investment Analysis in Excel

Resource: Online Training - Quantitative Investment Analysis in Excel https://t.co/e11ttfTIin — moneyscience (@moneyscience) December 3, 2019

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MoneyScience: Book: Financial Instrument Pricing Using C++

Resource: Book: Financial Instrument Pricing Using C++ https://t.co/YIEUQkcybX — moneyscience (@moneyscience) December 3, 2019

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MoneyScience: Book: Financial Instrument Pricing Using C++ - Daniel Duffy

Resource: Book: Financial Instrument Pricing Using C++ - Daniel Duffy https://t.co/i7sFfwwFpK — moneyscience (@moneyscience) December 3, 2019

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MoneyScience: Selena Gomez & Richard Thaler explain Synthetic CDOs

Resource: Selena Gomez & Richard Thaler explain Synthetic CDOs https://t.co/yYsueiUHnK — moneyscience (@moneyscience) December 3, 2019

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MoneyScience: Online Training - Clojure: The Complete Beginner's Guide

Resource: Online Training - Clojure: The Complete Beginner's Guide https://t.co/oy3E8qkjjl — moneyscience (@moneyscience) December 3, 2019

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MoneyScience: How To Perform Sentiment Analysis in Python 3 Using the Natural...

Resource: How To Perform Sentiment Analysis in Python 3 Using the Natural Language Toolkit (NLTK) https://t.co/3An5DVLmXh — moneyscience (@moneyscience)…

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Statistical mechanics and time-series analysis by L'evy-parameters with the...

We develop a method that relates the truncated cumulant-function of the fourth order with the L'evian cumulant-function. This gives us explicit formulas for the L'evy-parameters, which allow a...

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Variance Reduction Applied to Machine Learning for Pricing Bermudan/American...

In this paper we propose an efficient method to compute the price of multi-asset American options, based on Machine Learning, Monte Carlo simulations and variance reduction technique. Specifically, the...

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A unified Framework for Robust Modelling of Financial Markets in discrete...

We unify and establish equivalence between the pathwise and the quasi-sure approaches to robust modelling of financial markets in discrete time. In particular, we prove a Fundamental Theorem of Asset...

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