跳到主要內容

發表文章

目前顯示的是 4月, 2022的文章

Papers on Quant Research

  The Cross-Section of Expected Stock Returns   Source  https://www.ivey.uwo.ca/media/3775518/the_cross-section_of_expected_stock_returns.pdf Comment  This is the famous Fama-French paper, which proposed the Fama-French factor model, and the basics of cross-sectional equity research methods. Value and Momentum Everywhere   Source   https://pages.stern.nyu.edu/~lpederse/papers/ValMomEverywhere.pdf Comment  A good introduction to value and momentum; they can generate abnormal returns for individual stocks within several countries, across country equity indices, government bonds, currencies, and commodities. Mean Reversion in Stock Prices: Evidence and Implications   Source   http://papers.ssrn.com/sol3/papers.cfm?abstract_id=227278 Comment  One of the earliest papers reflecting the mean-reversion nature of stock prices. Price Momentum and Trading Volume   Source   http://technicalanalysis.org.uk/volume/LeSw00.pdf Comment  Gives insight on the role of volume: past trading volume provides

Implicit Factor Model - A Cross-Sectional Regression Approach

  Equity Factor Models - Build one in R with a few lines of codes A step-by-step guide to build your own fundamental factor model using R and cross-sectional regressions Alexander Popov — unsplash Multi-factor models are a must-have for investors looking to understand their portfolio’s performance drivers . It helps explain the actual return of factors such as countries, sectors, and styles, independent of other factors’ effects. In this article, we will focus on the mechanics of such models, and how to  code them in R . We also introduce a visualization that lets you visualize the factor performance contributions overtime. A Factor Model, what’s that? A factor model also called a multi-factor model, is a model that employs multiple factors to explain individual securities or a portfolio of securities. It exists at least three types of factor models: Statistical factor models  — They use methods similar to  principal component analysis  (PCA). In these models, both factor returns and f

鏈上合成資產

Mirror Finance, A  Synthetic Assets Protocol New tokens for a listed mAsset can be minted by creating a collateralized debt position (CDP) with either TerraUSD (UST), mAsset or whitelisted collateral tokens as collateral. Also, mAssets can be directly shorted upon opening a CDP to mint sLP tokens. The CDP is essentially a short position against the price movement of the reflected asset, -- i.e. if the stock price of AAPL rises, minters of mAAPL would be pressured to deposit more collateral to maintain the same collateral ratio.