Technology-related momentum
factor.formula
The formula for calculating the degree of scientific and technological relevance is:
The formula for calculating the technology-related weighted momentum factor is:
in:
- :
is the technological correlation between company i and company j in period t, with a value range of [-1, 1]. The higher the value, the higher the technological correlation between the two companies.
- :
is the N-dimensional patent distribution vector of company i in period t, where N represents the total number of technology categories defined by the Patent and Trademark Office. Each element of this vector represents the proportion of each type of technology patent obtained by company i in the corresponding technology category in the past five years. More specifically, $T_{it}$ = [$t_{i1t}$, $t_{i2t}$, ..., $t_{iNt}$], where $t_{ikt}$ represents the proportion of patents in the k-th technology category of company i at time t. The calculation of this vector takes into account the company's patent layout in different technical fields.
- :
Represents the Euclidean norm (or L2 norm) of the vector $T_{it}$, that is, $\sqrt{T_{it} \cdot T_{it}}$. It is used to standardize the patent distribution vector to avoid the deviation in correlation calculation caused by different numbers of patents.
- :
is the rate of return of company j in period t, usually refers to the arithmetic rate of return of the stock, that is, $RET_{jt} = \frac{P_{jt} - P_{j(t-1)}}{P_{j(t-1)}}$, where $P_{jt}$ is the stock price of company j in period t.
factor.explanation
This factor uses the technological correlation between companies to construct a momentum signal. The core idea is that when a company's technological advancement has a spillover effect, other companies that are closely related to it in technology will also be affected, leading to corresponding changes in their stock prices. Specifically, if a company has a high degree of technological correlation with several companies with good recent earnings performance, the company's future earnings may also be positively affected. Therefore, this factor captures the momentum effect brought about by this technological spillover effect by weighted averaging the returns of other companies with high technological correlation with the target company. This reflects the market's pricing response to technological innovation and spillover effects. This factor not only utilizes the traditional momentum effect, but also takes into account technical factors, so it can provide richer information and may have stronger predictive power.