Group 1 - The core idea emphasizes the importance of restructuring the learning mindset in finance, advocating for a gradual approach to mastering complex concepts [1] - It suggests breaking down learning into a "knowledge tree" model, starting with foundational concepts and gradually extending to application scenarios [1] - The article highlights the value of using storytelling and practical simulations to visualize abstract financial formulas [1] Group 2 - It accepts the notion of "trial and error" as a valuable learning process in finance, encouraging the use of simulation trading to allow for mistakes [2] - The article stresses the importance of analyzing decision-making processes and learning from past investment failures to improve future strategies [2] - It promotes the idea that seemingly unrelated financial knowledge can have practical applications in everyday decision-making [2] Group 3 - The ultimate goal of financial learning is to develop "cognitive flexibility," enabling individuals to assess market conditions and risks calmly [2] - It encourages maintaining a humble "seeker" mindset rather than a "gambler" mentality to effectively navigate market volatility [2]

Core Viewpoint - The unexpected failure of Friedrich Merz, the candidate for Chancellor from the German CDU party, to secure enough votes in the first round of voting has caused significant market reactions and raised concerns about the stability of the German government and its implications for the European market [2][4]. Group 1: Political Developments - Friedrich Merz failed to be elected Chancellor in the first round of voting, marking the first time since World War II that a candidate did not receive parliamentary support in the first round [2][4]. - The CDU and SPD had recently signed a coalition agreement, which was expected to facilitate the formation of a new government [4]. - Merz received only 310 votes, falling short of the 316 needed for a majority, which surprised many, including members of his own party [4][5]. Group 2: Market Reactions - Following the voting results, the DAX 30 index dropped over 2%, impacting stock indices across Europe, including a decline of 0.46% in the Euro Stoxx 50 and 0.32% in the French CAC40 [2][3]. - The DAX index's decline was later moderated to a 0.6% drop as the market reacted to the news [5]. Group 3: EU Trade Policies - The EU is preparing retaliatory measures against U.S. tariffs, with plans to impose tariffs on approximately €100 billion (about $113 billion) worth of U.S. goods if trade negotiations do not yield satisfactory results [6][8]. - EU Trade Commissioner Valdis Dombrovskis indicated that the EU would not accept unfair pressure from the U.S. and is considering all options for countermeasures [7][8]. - Current U.S. tariffs cover 70% of EU exports to the U.S., which could rise to 97% following further investigations into U.S. tariffs on pharmaceuticals and semiconductors [8].

文 | 银行螺丝钉 （转载请注明出处） 过去几年，人民币债券是一轮小牛市。 到了2024年，长期债券在上涨后，波动也逐渐变大。 很多朋友都会关心： 这里为大家准备了一门限时免费的课程，详细介绍了债券指数基金的相关问题。 长按识别下方二维码，添加@课程小助手，回复「 债券基金 」即可领取～ ◆◆◆ · 债券基金的收益和风险，有哪些特点？ · 为何普通投资者，更适合投资债券指数基金？ · 当前哪些债券指数基金，投资价值较高？ 这就是很典型的黑天鹅事件。 同样的，在2020年初，当时疫情刚开始， 原油价格出现暴跌。 发生了，破坏力又非常大的事件。 例如在1987年10月，美股遇到了大股灾。 当时美股道琼斯指数单日下跌超过20%。 原因是，当时计算机算法交易引入到投资 程序中。 当一部分股票下跌，计算机检测到之后， 会触发止损交易，卖出股票。 但是卖出导致股票进一步下跌，引发更多 的自动卖出交易，最终席卷整个市场。 这种程序交易在当时引入时间并不长，也 没有投资者能事先预料到，会那么短时间 出现如此巨大的跌幅。 原油期货价格也大幅下跌，甚至一度接近 到零。 有的投资者觉得,原油期货价格怎么都不 会低于0，就投入资金。 ...

还为大家详细介绍了几位投资大师：股神巴菲特、他的好搭档查理芒格和指数基金之父约翰博 格。分享了他们的人生经历、投资生涯和投资的理念。 大家好，我是银行螺丝钉，欢迎来到这期的螺丝钉带你读书。 「螺丝钉带你读书」也陪伴大家度过了三百多期，为大家讲解了很多有趣、经典的书籍和故 事，比如《三十几岁，财务自由》、《如何读一本书》、《战胜拖延症》等等。 大家可以点击下面链接查看部分螺丝钉带你读书合集： 《 世界读书日，螺丝钉送你103本私藏经典好书 》 往期回顾 第一篇：《 为何人人都爱预测：如何更好的抓住未来的答案 》 "黑天鹅"和"灰犀牛"事件 最近看了一本挺有意思的新书，《科学预测》。 上一篇，咱们介绍了未来是很难预测的。 有一套不断学习、进化的思维模式，是我们应对未来不确定世界的武器。 在应对不确定性的时候，有两种不确定性事件，所带来的风险是比较大的。 那就是"黑天鹅"和"灰犀牛"事件。 黑天鹅事件 黑天鹅和灰犀牛，听起来像是进入了动物园。 其实它们是两类风险事件的代名词。 黑天鹅，指的是出现概率极低，但是一旦发生了，破坏力又非常大的事件。 黑天鹅事件通常是事先无法预料到的。 举个例子。 在1987年10月，美股 ...