词汇：would
aux. 将，将要；愿意
相关场景
The total amount of unrecognized tax benefits that, if recognized, would affect the effective tax rate. | Matrix.
>> Fundamental Report Footnotes
>> Fundamental Report Footnotes
Securities (including those issuable pursuant to contingent stock agreements) that could potentially dilute basic earnings per share (EPS) or earnings per unit (EPU) in the future that were not included in the computation of diluted EPS or EPU because to do so would increase EPS or EPU amounts or decrease loss per share or unit amounts for the period presented. | Matrix.
>> Fundamental Report Footnotes
>> Fundamental Report Footnotes
Securities (including those issuable pursuant to contingent stock agreements) that could potentially dilute basic earnings per share (EPS) or earnings per unit (EPU) in the future that were not included in the computation of diluted EPS or EPU because to do so would increase EPS or EPU amounts or decrease loss per share or unit amounts for the period presented. | Matrix.
>> Fundamental Report Footnotes
>> Fundamental Report Footnotes
酒吧里的人会缠着我，告诉我他们的生活故事。
This new vector is then normalized and scaled to booksize. The portfolio thus formed would contain equal money invested in long and short positions, and can be used to calculate that day's PnL.
>> worldquantbrain_5_vector
>> worldquantbrain_5_vector
然后，这个新向量被归一化并缩放到书本大小。由此形成的投资组合将包含投资于多头和空头头寸的相等资金，可用于计算当天的PnL。
Suppose we have Alpha = -ts_delta (close, 5), where Alpha is the vector of values. Setting neutralization = market, would make the mean of the Alpha vector equal to zero, i.e. the Alpha vector would undergo the change: Alpha = Alpha - mean(Alpha).
>> worldquantbrain_5_vector
>> worldquantbrain_5_vector
假设我们有Alpha=-ts_delta（close，5），其中Alpha是值的向量。设置中和=市场，将使阿尔法向量的均值等于零，即阿尔法向量将发生变化：阿尔法=阿尔法-均值（阿尔法）。
This ratio can vary significantly across industries. Would it be worth considering alternative neutralization settings?
>> worldquantbrain_4_program
>> worldquantbrain_4_program
这一比例在不同行业之间可能存在显著差异。是否值得考虑其他中和设置？
Suppose we use a decay of 3 in our simulation settings. The final vector of weights in the Alpha would be calculated by combining today’s value with the previous day’s decayed value. In our example, we calculated the normalized weights in the Alpha as of February 2nd. Let’s assume that the normalized weights of stocks in the Alpha vector on February 1st and January 31st are as shown in Columns N and O, respectively.
>> worldquantbrain_4_program
>> worldquantbrain_4_program
假设我们在模拟设置中使用3的衰减。Alpha中的最终权重向量将通过将今天的值与前一天的衰减值相结合来计算。在我们的示例中，我们计算了截至2月2日的Alpha中的归一化权重。假设2月1日和1月31日Alpha向量中股票的归一化权重分别如N列和O列所示。
For each day, the expression is evaluated and the values in the Alpha output vector represent the weights to allocate to each stock. Alpha weights are not how much you want to buy or sell, but a weighting position you would reach this day. These weights are multiplied by book size (total money invested in the portfolio) to get the dollar value held in each stock. For example, if the Alpha weight (after neutralization and scaling) for MSFT is 0.2423, then we’ll have MSFT stocks with the total value 0.2423*book size.
>> worldquantbrain_4_program
>> worldquantbrain_4_program
对于每一天，计算表达式，Alpha输出向量中的值表示分配给每只股票的权重。阿尔法权重不是你想买或卖多少，而是你今天会达到的权重头寸。这些权重乘以账面规模（投资于投资组合的总金额），得出每只股票的美元价值。例如，如果MSFT的Alpha权重（中和和缩放后）为0.2423，那么我们将拥有总价值为0.2423*书本尺寸的MSFT股票。
Step1: Evaluate the expression for each stock to generate the Alpha vector for the given date.
In our case, this date would be February 2nd, because we’ve assumed Delay 1 settings. The Delay 1 setting uses data as of T-1 date to create the Alpha vector as of T date.
To produce the Alpha vector, the simulator performs the rank operation on negative returns and produces a vector of values corresponding to each stock.
>> worldquantbrain_4_program
>> worldquantbrain_4_program
步骤1：计算每只股票的表达式，以生成给定日期的Alpha向量。在我们的例子中，这个日期将是2月2日，因为我们假设了延迟1的设置。延迟1设置使用截至T-1日期的数据来创建截至T日期的Alpha向量。为了生成Alpha向量，模拟器对负回报执行排名操作，并生成与每只股票对应的值向量。
It is easy to invest $100 in stock, but negative positions (shorts) are common too. E.g. one can get $100 now by shorting a stock (i.e. investing -$100), which must be bought back later. PnL would be the opposite of $100 invested, as seen in the table below. Negative weights are called short positions and positive weights are called long positions. Typically investors take short positions when they expect stock price to decrease and long positions (i.e. buying stocks) when they expect price to increase. Please refer to Investopedia for more details on short selling.
>> worldquantbrain_4_program
>> worldquantbrain_4_program
投资100美元于股票很容易，但负头寸（空头）也很常见。例如，现在可以通过做空股票（即投资-100美元）获得100美元，稍后必须回购。PnL将与100美元的投资相反，如下表所示。负权重称为空头头寸，正权重称为多头头寸。通常，投资者在预期股价下跌时持有空头头寸，在预期股价上涨时持有多头头寸（即买入股票）。有关卖空的更多详细信息，请参阅Investopedia。
Inside information is material, non-public information about a security. Non-public means the information has not been disseminated through a recognized channel or distribution. Material means any reasonable shareholder would consider the information important in making an investment decision regarding the security. If you have access to such potentially material, non-public information due to your current position in your firm or company, you must answer “yes” to this item.Do you possess or have access to information that may be considered confidential or nonpublic concerning any public issuer? (Required)
>> worldquantbrain_3_myworkday
>> worldquantbrain_3_myworkday
内幕信息是关于证券的重要非公开信息。非公开是指信息未通过公认的渠道或分销渠道传播。重大意味着任何合理的股东都会认为这些信息在做出有关证券的投资决策时很重要。如果您因目前在公司或公司的职位而有权访问此类潜在的重要非公开信息，您必须对此项回答“是”。您是否拥有或可以访问有关任何公共发行人的可能被视为机密或非公开的信息？（必填）
Are you a subject to, or would your proposed consulting agreement with the Firm potentially violate, a confidentiality, non-disclosure, non-competition, non-solicitation or garden-leave agreement? (Required)
>> worldquantbrain_3_myworkday
>> worldquantbrain_3_myworkday
您是否受保密、不披露、不竞争、不招揽或花园休假协议的约束，或者您与公司签订的拟议咨询协议是否可能违反保密、不公开、不招揽、花园休假协议？（必填）
nws12_afterhsz_sl data field indicates whether a long or short position would be more beneficial following each news release. This information is stored in a vector-type field, as a company may have multiple news releases. Stocks with more 'long position advantage' news events might exhibit strong momentum, while companies with fewer such events could exhibit a potential reversion.
In brief, this approach combines momentum and reversion Alpha idea. Under specific conditions (more 'long position advantage' news events), the Alpha applies a momentum effect; otherwise, it uses a reversion signal. The expression of this idea might look like this:
? :
>> worldquantbrain_2
>> worldquantbrain_2
nws12_afterhszsl数据字段指示在每次新闻发布后，多头或空头头寸是否更有利。此信息存储在矢量类型字段中，因为一家公司可能有多个新闻稿。拥有更多“多头头寸优势”新闻事件的股票可能会表现出强劲的势头，而拥有较少此类事件的公司可能会出现潜在的逆转。简而言之，这种方法结合了动量和逆阿尔法思想。在特定条件下（更多的“多头头寸优势”新闻事件），阿尔法应用动量效应；否则，它使用反转信号。这个想法的表达可能看起来像这样：？ :
It provides a measure of how many years it would take for a company's EBITDA to pay off its Enterprise Value
>> worldquantbrain
>> worldquantbrain
它衡量了一家公司的息税折旧摊销前利润需要多少年才能偿还其企业价值
It’s fifty cents but if you buy two drawings or one drawing and a zine, it’s 90 cents. But I don’t actually have a dime, so it would end up being the same price.
>> The Diary of a Teenage Girl Movie Script
>> The Diary of a Teenage Girl Movie Script
It’s so obvious that I like you. If I wanted to f*** anyone, it would be you- I’m not saying I wanna- sh*t.
>> The Diary of a Teenage Girl Movie Script
>> The Diary of a Teenage Girl Movie Script