但这并不意味着 alpha 必将失败,真正重要的是,不同的资产管理规模,核心点是不同的,小规模机构追逐 alpha 仍是有益的,但对于大型机构,beta 配置是核心的,甚至仅有的出路。 1. Alpha 与 Beta 之争 美人如此多娇,引无数英雄竞折腰;Alpha 大概便是主动资产管理行业的高冷美人,青年才俊们绞尽脑汁,目标都只为获取 alpha
从评价基金的角度来看,越高的Alpha表示基金经理的能力超过平均水准或基准更多;而更高的Beta则意味着波动更大、风险更高,并不一定代表业绩更好,因为它既可以向上波动也可以向下波动。 长期来看,如果一个基金经理能够长时间保持高Alpha的话,说明他确实很厉害,值得我们信任。相反,一只基金没有Alpha但贝塔收益很高,那只能...
While a positive alpha is always more desirable than anegative alpha, beta isn’t as clear-cut. Risk-averse investors such as retirees seeking a steady income are attracted to lower beta. Risk-tolerant investors who seek bigger returns are often willing toinvest in higher beta stocks. Fast Fa...
谈宁是个beta，虽然容貌跌丽惊人，但依然是个不讨喜欢的万人嫌，他在学校里总是沉着脸，阴郁得不像正常人。被同学排挤，他也无所谓，一个劲地做家教找兼职赚钱，和谁都没有交集。和他形成鲜明对比的是林颂安，顶级alpha，出身豪门天之骄子，所到之处都是鲜花簇拥，什么都不缺，什么都不放在眼里。有次两个学...
Focused Beta:Product is released to the market for gathering feedback on specific features of the program. For example, important functionality of the software. Post-release Beta:Product is released to the market and data is gathered to make improvements for the future release of the product. ...
Alpha vs Beta: Comparison Alpha Alpha is the excess return relative to market volatility. Alpha evaluates investment performance beyond predicted returns. Alpha greater than zero suggests outperformance after adjusting for risk. Beta Beta measures a security's volatility compared with a benchmark index....
Alpha vs Beta Testing – What is the Actual Difference? Purpose This testing is always necessary for the products that are planned to undergo Beta Testing (most of the time, the Alpha test is omitted and the phase skips directly to Beta Testing, which is not mostly recommended). ...
Smart Beta VS Alpha+Beta 我们可以将股票市场和多空多因子投资组合结合起来进行配置,而不是通过选择按因子排序的股票来构造一个Smart Beta。我们可以通过ETF或流动性较强的另类共同基金来构建Alpha+Beta策略。标普500的Beta成本几乎为零,多空多因子ETFs的定价远低于1%,因此其总成本与Smart Beta ETFs相当。 那么,Alpha...
《 被嫌弃的Beta 》千载之下 首发:晋江 文案: 少爷A vs 仆人B AB恋|狗血火葬场 陆时骞第一眼看陈循,只觉这是个老实木讷的普通Beta,长相普通,家世普通,性格更是无趣。 陈循第一眼看陆时骞,那眼神炽热得叫人嫌恶,除了始于颜值的那点吸引,更有他自己的小算盘。
Power = 1 - Beta risk = 1 -β Beta risk is also called False Negative, Type II Error, or "Consumer's" Risk. The Power is the probability of correctly rejecting the Null Hypothesis. The Null Hypothesis is technically never proven true. It is "failed to reject" or "rejected". ...