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Trend following with momentum versus moving averages: a tale of differences

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A comparison principle between rough and non-rough Heston models—with...

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Pricing high-dimensional American options by kernel ridge regression

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A neural network enhanced volatility component model

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CoinDesk on Twitter

Are these really “bad actors” or just smart people taking advantage of bad system design? Me thinks the latter https://t.co/hbmirEU1dA — Rob "Crypto Bobby"…

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Scotiabank gears up for the quantum computing age

As the quantum computing revolution gathers pace, Scotiabank in Canada has begun to explore the migration to encryption methods that can keep out the hackers of…

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Scalable Machine Learning, Scalable Python, For Everyone

The Data Exchange Podcast: Dean Wampler on Ray, distributed systems, and Scala and Python.Subscribe: iTunes, Android, Spotify, Stitcher, Google, and RSS.For more on Ray and scalable machine learning...

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Exchange-traded funds: why you need to ‘know what you own’

Do exchange-traded funds (ETFs) pose systemic risk? Or are such concerns exaggerated? https://t.co/6cdinxacMY — Risk Management (@Risk_Mgmt) February 19, 2020

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Alpha Comes in Waves

The brief history of replication funds may already be divided into three waves, the third of which is still in formation. The first wave was about democratization: putting hedge fund strategies in the...

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Algorithmic trading in a microstructural limit order book model....

We propose a microstructural modeling framework for studying optimal market making policies in a FIFO (first in first out) limit order book (LOB). In this context, the limit orders, market orders, and...

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Forecasting Realized Volatility Matrix With Copula-Based Models....

Multivariate volatility modeling and forecasting are crucial in financial economics. This paper develops a copula-based approach to model and forecast realized volatility matrices. The proposed...

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Cournot-Nash equilibrium and optimal transport in a dynamic setting....

We consider a large population dynamic game in discrete time. The peculiarity of the game is that players are characterized by time-evolving types, and so reasonably their actions should not anticipate...

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Derivatives Discounting Explained. (arXiv:2002.08532v1 [q-fin.PR])

Derivative pricing is about cash flow discounting at the riskfree rate. This teaching has lost its meaning post the financial crisis, due to the addition of extra value adjustments (XVA), which also...

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The Fair Basis: Funding and capital in the reduced form framework....

A negative basis trade enters a long bond position and buys protection on the issuer of the bond through credit default swap (CDS), aiming at arbitrage profit due to the bond-CDS basis. To classic...

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Equal risk option pricing with deep reinforcement learning....

This article presents a deep reinforcement learning approach to price and hedge financial derivatives. This approach extends the work of Guo and Zhu (2017) who recently introduced the equal risk...

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Criptocurrencies, Fiat Money, Blockchains and Databases. (arXiv:2002.08466v1...

Two taxonomies of money that include cryptocurrencies are analyzed. A definition of the term cryptocurrency is given and a taxonomy of them is presented, based on how its price is fixed. The...

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How to negotiate more effectively: six useful tips

Negotiation is as critical a business skill today as it has ever been. And it’s something that none of us can avoid. Whether it’s determining the terms of a new deal, overcoming conflict with...

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Hierarchical Risk Parity

Various risk parity methodologies are a popular choice for the construction of better diversified and balanced portfolios. It is notoriously hard to predict the future performance of the majority of...

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Regime switching affine processes with applications to finance

Abstract We introduce the notion of a regime switching affine process. Informally this is a Markov process that behaves conditionally on each regime as an affine process with specific parameters. To...

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Option Profit and Loss Attribution and Pricing: A New Framework

ABSTRACT This paper develops a new top‐down valuation framework that links the pricing of an option investment to its daily profit and loss attribution. The framework uses the...

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