Michael Isichenko - Quantitative Portfolio Management

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Discover foundational and advanced techniques in quantitative equity trading from a veteran insider  In 
, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. 
In this important book, you’ll discover: 
Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, 
 will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.

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Security return for day картинка 4is defined as the relative change in the closing price картинка 5from previous day to current day 11 To account for corporate actions the pr - фото 6to current day 11 To account for corporate actions the prices are adjusted that is - фото 7:

(1.1) To account for corporate actions the prices are adjusted that is multiplied - фото 8

To account for corporate actions, the prices are adjusted, that is, multiplied by an adjustment factor картинка 9so (1.1)give a correct return on investment after the adjustment. In general, a multi-day return from day to day equals 12 The adjustment factor - фото 10to day equals 12 The adjustment factor is used only in a ratio acro - фото 11equals

(1.2) The adjustment factor is used only in a ratio across days and is therefore - фото 12

The adjustment factor картинка 13is used only in a ratio across days and is therefore defined up to constant normalizing coefficient. There are two ways of price adjustment: backward and forward. The backward adjustment used, for example, in the Bloomberg terminalis normalized so today's adjustment factor equals one and changes by cax events going back in time. On a new day, all values картинка 14are recomputed.

Another way is forward adjustment, in which scheme starts with one on the first day of the security pricing history and then - фото 15starts with one on the first day of the security pricing history and then changes as

(1.3) Cax events are understood as those with or The past history of the f - фото 16

Cax events are understood as those with картинка 17or картинка 18. The past history of the forward adjustment is not changed by new entries. Therefore, the forward adjustment factor can be recorded and incrementally maintained along with price-volume data. If backward adjustment factor is desired as of current date, it can be computed as

(1.4) 1 2This is clearly not enough for updating an actual trading - фото 19

_____________

1 2This is clearly not enough for updating an actual trading portfolio for newly spun off regular or when-issued stock. For this, portfolio managers usually rely on maintenance performed by the prime broker.

The rationale for Eq. (1.3)is as follows. Dividend and split for day картинка 20are always known in advance. One perfectly logical, if impractical, way to reinvest a dividend картинка 21(including a monetized spin-off) per share is to borrow cash to buy Quantitative Portfolio Management - изображение 22additional shares of the same stock at the previous day close and then return the loan the morning after from the dividend proceeds. To stay fully invested, the total dividend amount Quantitative Portfolio Management - изображение 23must equal the loan amount therefore 15 In terms of value at hand this manipulation is equivalent - фото 24, therefore

(1.5) Quantitative Portfolio Management - изображение 25

In terms of value at hand, this manipulation is equivalent to a Quantitative Portfolio Management - изображение 26stock split. If there is also a post-dividend split oneday adjustment factor equals 16 and formula 13follows 3 Some - фото 27, one-day adjustment factor equals

(1.6) and formula 13follows 3 Some quant shops have used a similar reinvestment - фото 28

and formula (1.3)follows. 3

Some quant shops have used a similar reinvestment logic of buying картинка 29shares of stock at the new closing price resulting in a somewhat simpler day adjustment factor 17 This formula is - фото 30resulting in a somewhat simpler day adjustment factor,

(1.7) This formula is fine as far as only daily data is concerned but applying this - фото 31

This formula is fine as far as only daily data is concerned, but applying this adjustment to intraday prices results in a lookahead ( Sec. 2.1.1) due to using a future, while intraday, closing price картинка 32. Intraday forecast features depending on such adjustment factor can generate a wonderful forecast for dividend-paying stocks in simulation, but production trading using such forecasts will likely be disappointing. Formula (1.6)differs from the “simple” Eq. (1.7)by a typically small amount Quantitative Portfolio Management - изображение 33but is free from lookahead.

Dividend (including any spin-off) values картинка 34found in actual historical data can occasionally reach or exceed the previous close value картинка 35causing trouble in Eq. (1.3). Such conditions are rare and normally due to a datafeed error or a major capital reorganization warranting a termination of the security and starting a new one via a suitable entry in the security master ( Sec. 2.1.2), even if the entity has continued under the same name.

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