quant

简明释义

英[kwɒnt]美[kwɑːnt]

n. 定量分析专家；船篙，船桨

v. 用篙撑（船）

n. （Quant）（美、英、荷）匡特（人名）

英英释义

单词用法

同义词

反义词

例句

1.S. stock market fell about 4% in that stretch. But Renaissance Institutional Equities slid 8.7%. Another big quant fund, AQR Capital Management, lost 13%.

美国大盘在风暴中跌了4%，但“复兴机构股票”跌了8.7%，另一家定量基金AQR资产管理跌了13%。

2.By the time he began work as a financial-market "quant" in the 1980s, he had already become convinced that the academic mainstream was looking at probability the wrong way.

二十世纪八十年代，当他开始成为金融界的“计量金融师”(quant)时，就确信学术主流对于概率的研究走向了错误的道路。

3.Along with her husband, Quant opened up a small shop, Bazaar, on Carnaby Street of London.

随着她的丈夫，特开辟了一个小商店，集市，对卡纳比街的伦敦。

4.The boat is equipped with handles, safe pulling rope, draw ring, quant and other relevant accessories.

船上设有把手、安全拉绳、牵引环、船桨等相关配件。

5.In 1973 a group of air hostesses model the new uniforms designed by Mary Quant for cabin crew.

1973年，一群空姐展示着设计师玛莉官为空乘人员设计的新制服。

6.It was snowing vigorously, and anyone in a calico prairie dress might have wished for the plastic mackintoshes and vinyl boots of Mary Quant.

雪下的很大，任何一个在棉花种植园的人都希望穿上玛丽·匡特品牌的塑料雨衣和雨鞋。

7.Saying that I've got 10 quant jocks who are going to solve all my data problems is the wrong way to go about it.

报告指出，认为只要有10个分析师，就能解决公司所有数据问题的想法是错误的。

8.Quant is a global leader in industrial maintenance.

前腾是全球工业维护服务领导者。

9.The quant 量化分析师 used complex mathematical models to predict market trends.

这位量化分析师使用复杂的数学模型来预测市场趋势。

10.To become a successful quant 量化分析师, one must have strong programming skills.

要成为一名成功的量化分析师，必须具备扎实的编程技能。

11.The investment firm hired several quants 量化分析师 to enhance their portfolio management.

这家投资公司聘请了几位量化分析师来增强他们的投资组合管理。

12.The new hire is a talented quant 量化分析师 who specializes in algorithmic trading.

新聘的员工是一位才华横溢的量化分析师，专注于算法交易。

13.Many hedge funds rely on quants 量化分析师 to develop their trading strategies.

许多对冲基金依赖于量化分析师来制定他们的交易策略。

作文

In the world of finance and investment, the term quant refers to a quantitative analyst who uses mathematical models and statistical techniques to analyze financial data. These professionals play a crucial role in developing algorithms that help in trading, risk management, and portfolio optimization. The rise of technology in finance has led to an increasing demand for quants, as their expertise allows firms to make data-driven decisions and gain a competitive edge in the market.The journey to becoming a quant often begins with a strong educational background in fields such as mathematics, statistics, physics, or engineering. Many quants hold advanced degrees, such as a master's or PhD, which equips them with the skills necessary to tackle complex financial problems. They are proficient in programming languages like Python, R, or C++, which they use to implement their models and analyze large datasets.One of the significant contributions of quants is in the realm of algorithmic trading. By utilizing sophisticated mathematical models, quants can identify patterns and trends in market data that are not immediately apparent to human traders. This ability allows them to execute trades at optimal times, maximizing profits while minimizing risks. Furthermore, these models can adapt to changing market conditions, making them invaluable in the fast-paced world of finance.Risk management is another critical area where quants excel. They develop models that assess the potential risks associated with various investment strategies. By quantifying risk, quants help firms make informed decisions about asset allocation and risk exposure. This is particularly important in volatile markets where the potential for loss can be substantial.Moreover, quants also contribute to portfolio management. They use optimization techniques to construct portfolios that align with investors' goals while adhering to specific risk tolerances. This process involves balancing various assets to achieve the best possible return on investment. By leveraging their analytical skills, quants can create diversified portfolios that mitigate risk and enhance performance.Despite the numerous advantages that quants bring to the finance industry, their work is not without challenges. The reliance on mathematical models can sometimes lead to overfitting, where a model performs well on historical data but fails to predict future outcomes accurately. Additionally, market conditions can change rapidly, rendering previously successful models ineffective. Therefore, quants must continuously refine their models and stay updated on market trends to remain relevant.In conclusion, the role of a quant in the finance industry is both dynamic and essential. Their ability to analyze vast amounts of data and develop predictive models has transformed the way financial institutions operate. As the industry continues to evolve, the demand for skilled quants will likely increase, making it a promising career choice for those with a passion for mathematics and finance. Understanding the intricacies of this profession can provide valuable insights into the future of finance and the importance of data-driven decision-making.

在金融和投资的世界中，术语quant指的是量化分析师，他们使用数学模型和统计技术来分析金融数据。这些专业人士在开发帮助交易、风险管理和投资组合优化的算法方面发挥着至关重要的作用。科技在金融领域的崛起导致对quants的需求不断增加，因为他们的专业知识使公司能够做出基于数据的决策，并在市场中获得竞争优势。成为一名quant的旅程通常始于在数学、统计学、物理学或工程等领域的强大教育背景。许多quants拥有硕士或博士等高级学位，这使他们具备解决复杂金融问题所需的技能。他们精通Python、R或C++等编程语言，用于实现其模型并分析大型数据集。quants的重要贡献之一是在算法交易领域。通过利用复杂的数学模型，quants可以识别市场数据中不易被人类交易者察觉的模式和趋势。这种能力使他们能够在最佳时机执行交易，最大化利润，同时最小化风险。此外，这些模型可以适应变化的市场条件，使它们在快速发展的金融世界中变得不可或缺。风险管理是quants擅长的另一个关键领域。他们开发评估各种投资策略潜在风险的模型。通过量化风险，quants帮助公司就资产配置和风险暴露做出明智的决策。这在波动性市场中尤其重要，因为潜在损失可能相当可观。此外，quants还为投资组合管理做出了贡献。他们使用优化技术构建与投资者目标一致的投资组合，同时遵循特定的风险容忍度。这个过程涉及平衡各种资产，以实现最佳的投资回报。通过利用他们的分析技能，quants可以创建多样化的投资组合，以减轻风险并增强表现。尽管quants为金融行业带来了众多优势，但他们的工作也面临挑战。对数学模型的依赖有时可能导致过拟合，即模型在历史数据上表现良好，但无法准确预测未来结果。此外，市场条件可能迅速变化，使以前成功的模型失效。因此，quants必须不断完善他们的模型，并保持对市场趋势的更新，以保持相关性。总之，quant在金融行业中的角色既动态又至关重要。他们分析大量数据并开发预测模型的能力改变了金融机构的运作方式。随着行业的不断发展，对熟练quants的需求可能会增加，使其成为那些热爱数学和金融的人的一个有前途的职业选择。理解这一职业的复杂性可以为我们提供关于金融未来及数据驱动决策重要性的宝贵见解。