Barra China Equity Model (CNE5) 13

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Barra China Equity Model (CNE5)
Descriptor Details
September 2013
The ten style factors of CNE5 compri a total of 21 descriptors. This document defines the descriptors and their weights in the style factors. The descriptors are listed under the style factors to which they belong.
Style:
Beta Definition:
1.00  BETA Components:
BETA Beta (β) Computed as the slope coefficient in a time-ries regression of excess stock return, r t −r ft  , against the cap-weighted excess return of the estimation univer R t ,                                r t −r ft =α+βR t +e t                                                (1)  The regression coefficients are estimated over the trailing 252 trading days of returns with a half-life of 63 trading days.
Style:
乡贡进士
Momentum Definition:
1.00  RSTR Components:
RSTR Relative strength Computed as the sum of excess log returns over the trailing T  = 504 trading days with a lag of L = 21 trading days,  RSTR =∑w t �ln (1+r t )−ln�1+r ft ��T+L t=L  ,                                          (2)  where, r t  is the stock return on day t  , r ft  is the risk-free return, and w t  is an exponential weight with a half-life of 126 trading days.
Style:
Size Definition:
1.00  LNCAP Components:
LNCAP Natural log of market cap Computed by the logarithm of the total market capitalization of the firm.
Style:
Earnings Yield Definition: 0.68 · EPIBS + 0.11 · ETOP + 0.21 · CETOP
Components: EPIBS Analyst Predicted Earnings-to-Price Earnings-to-price ratio forecasted by analysts.
ETOP Trailing earnings-to-price ratio Computed by dividing the trailing 12-month earnings by the current market capitalization. Trailing earnings are defined as the last reported fiscal-year earnings plus the difference between current interim figure and the comparative interim figure from the previous year. CETOP Cash earnings-to-price ratio Computed by dividing the trailing 12-month cash earnings divided by current price.
Style:
Residual Volatility Definition:
0.74· DASTD + 0.16 · CMRA + 0.10 · HSIGMA Components: DASTD Daily standard deviation Computed as the volatility of daily excess returns over the past 252 trading days with a half-life of 42 trading days.
CMRA Cumulative range This descriptor differentiates stocks that have experienced wide swings ov
er the last 12 months from tho that have traded within a narrow range. Let  Z (T )  be the cumulative excess log return over the past T  months, with
each month defined as the previous 21 trading days,  Z (T )=∑�ln (1+r τ)−ln�1+r fτ��T
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琢的多音字τ=1,                                                (3)  where, r
τ is the stock return for month τ (compounded over 21 days) and r fτ
is the risk-free return. The cumulative range is given by,  CMRA =
Z max − Z min  ,                                                                                (4)
where, Z max =max {Z (T )} ,              Z min =min {Z (T )}              T = 1,...,12
HSIGMA Historical sigma (σ)
Computed as the volatility of residual returns in Equation 1,  σ=std (e
t ).                                                                                                    (5)  The volatility is estimated over the trailing 252 trading days of returns with a half-life of 63 trading days. Note : The Residual Volatilit
y factor is orthogonalized to Beta to reduce
collinearity.
Definition: 0.47 · SGRO + 0.24 · EGRO +0.18 · EGIBS + 0.11 · EGIBS_s
Components: SGRO Sales growth (trailing five years)
Annual reported sales per share are regresd against time over the past
five fiscal years. The slope coefficient is then divided by the average annual
sales per share to obtain the sales growth.
EGRO Earnings growth (trailing five years)
Annual reported earnings per share are regresd against time over the
past five fiscal years. The slope coefficient is then divided by the average
annual earnings per share to obtain the earnings growth.
语言文字工作总结
EGIBS Long-term Predicted Earnings Growth
Long-term earnings growth forecasted by analysts.
EGIBS_s Short-term Predicted Earnings Growth
Short-term earnings growth forecasted by analysts.
Style: Book-to-Price
中班垃圾分类教案Definition:    1.00 · BTOP
Components: BTOP Book-to-Price
Last reported book value of common equity divided by current market
capitalization.
Style: Leverage
Definition: 0.38 · MLEV + 0.35 · DTOA + 0.27 · BLEV
Components: MLEV Market leverage
Computed as,
MLEV=ME+PE+LD ME,                                                                                      (6)
where, ME is the market value of common equity on the last trading day,
PE is the most recent book value of preferred equity, and LD is the most
recent book value of long-term debt.
DTOA Debt-to-asts
Computed as,
DTOA=TD TA,                                                                                                      (7)
where,TD is the book value of total debt (long-term debt and current
liabilities) and TA is most recent book value of total asts.
BLEV Book leverage
Computed as
BLEV=BE+PE+LD BE,                                                                                          (8)
where, BE is the most recent book value of common equity, PE is the most
recent book value of preferred equity, and LD is the most recent book
value of long-term debt.
Definition: 0.35 · STOM + 0.35 · STOQ + 0.30 · STOA
Components: STOM Share turnover, one month Computed as the log of the sum of daily turnover during the previous 21 trading days, STOM =ln  �∑V t S t 21t=1�,                                                                              (9) where, is V t  the trading volume on day t  and S t  is the number of shares outstanding.
STOQ Average share turnover, trailing 3 months Let STOM τ be the share turnover for month τ, with
each month consisting of 21 trading days. The quarterly share turnover is defined by, STOQ =ln  �1T ∑exp  (STOM τ)T τ=1�,                                                    (10) where, T = 3 months.
STOA Average share turnover, trailing 12 months Let STOM τ be the share turnover for month τ, with each month consisting of 21 trading days. The annual share turnover is defined by, STOA =ln  �1T ∑exp  (STOM τ)T τ=1�,                                                      (11) where, T = 12 months.  Style:
Non-linear Size Definition:
1.00 · NLSIZE Components:
NLSIZE Cube of Size First, the standardized Size exposure (i.e., log of market cap) is cubed. The resulting factor is then orthogonalized to the Size factor on a regression-weighted basis. Finally, the factor is winsorized and standardized.
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of September 30, 2012, as published by eVestment, Lipper and Bloomberg on January 31, 2013
Apr 2013
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