シャドーイング練習: A Tale of Two Markets - YouTubeで英語スピーキングを学ぶ
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This is The Markets.
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This is The Markets.
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I'm Chris Hussey, and today is Wednesday, May 13th, and I'm here on the Goldman Sachs trading floor with Sean Tateja,
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who oversees the ETF and Custom Basket's Vol Options Trading Desk within Global Banking and Markets.
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Sean, thanks so much for joining us.
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It's always fun to be on.
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All right, Sean.
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SPX is up 16 percent.
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NASDAQ's up 26 percent.
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I think semis are up like 70 percent off those March 30th lows.
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What's going on?
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What happened?
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Yeah, it's amazing because we're still in the middle of a large geopolitical conflict where oil prices are still very elevated.
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And as you mentioned, you just look at it and S&P is up 8% on the year now.
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NASDAQ is up about 15% or 16% on the year.
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Semis, you know, they go up every single day, it feels like.
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And it really feels to me like it's a tale of two markets.
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There's the AI stocks within U.S equities and anything that's related to the AI trade, whether it's the hyperscalers, the semiconductors, the data centers, the equipment,
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and then there's the rest of the market.
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And the indices that you mentioned, the S&P, the NASDAQ, so much of the concentration in those is now these AI names.
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And so we've just gone through another earning season just about here in the S&P.
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We're about 90% of the way through, and EPS growth is tracking at plus 17% year over year,
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which is the sixth consecutive quarter of double-digit earnings growth.
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Now, as remarkable as that is, what's even more remarkable is
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that the expectations for the next 12 months of EPS growth have now been ticking up to plus 13%.
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And if you look at it, in one way, you would say, well, the S&P is up 8% year to date.
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EPS growth over the next 12 months is up 13%.
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So the multiple has actually compressed from 22 to 21 times.
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So if anything, earnings are doing most of the heavy lifting.
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Now, that's not to say
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that a 21 times multiple is historically cheap by any metrics based on everything that's going on in the world.
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But I think what it does show is that so much of these indices are concentrated to AI.
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And the AI story is still fundamentally intact in terms of earnings.
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And they're still growing at a very rapid rate.
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Yeah, that's a great point.
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AI is driving so much earnings.
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It's funny, though, because going into the year, we had this call around halo stocks outperforming even the AI stocks, and it was working.
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What happened to that?
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You're talking about a tale of two markets.
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What happened to the other side of the market, that halo side?
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It's amazing because when we sat here three months ago and did this podcast at the beginning of the year, the whole theme around the market was a broadening out trade.
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It was that the conventional leaders, U.S tech, hyperscalers, et cetera, were getting sold in exchange for more cyclical equities to start the year.
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The view was that there was going to be above trend growth,
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below trend inflation and a Federal Reserve who could start cutting rates as soon as the summer into a very hot economy.
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And so a lot of our clients at the beginning of the year said in a world that has plentiful growth, we should be looking for names in the home builder space,
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in the consumer space, which was supposed to get relief from the tax refunds
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that were part of the one big beautiful bill last year, as well as from potentially the Supreme Court striking down tariffs, which ended up happening.
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And there were a lot of things to get bullish on in terms of the real economy, whether it be as well the industrials, what we call the cyclical equities.
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And what's ended up happening is you can't really see it in the price of S&P because it's so dominated by AI.
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But there has been a real growth shock and inflation shock
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because of how high oil prices have been because of the geopolitical conflict that we're seeing right now.
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And so that's affected a lot of these cyclical equities.
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And we're seeing this massive rotation back into the hyperscalers back into the AI names as people view
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that story as more inelastic demand and able to withstand the things that the consumers aren't.
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Because now we're in a really murky macro world where there's very high inflation
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and we thought the Fed was going to be cutting.
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Now we're hearing clients say that the next move might actually be a hike just given
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that we had an extremely high PPI this morning, really high CPI yesterday, and the growth numbers are starting to deteriorate and the Fed might be a little handcuffed,
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which is not a good setup for the rest of the economy or the real economy, we should say.
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So square the circle there, because, you know, as you pointed out, six straight quarters of double digit EPS gains.
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But all this ahead of us, maybe a Fed hike.
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And as you say, the real economy actually showing some stress.
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Are we in a bubble?
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No, I don't think we're in a bubble.
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And the way that I define a bubble would be you have a stock
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or a group of stocks that go up for, call it a day, a month, a year, two years, whatever it is, on air.
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and when the bubble pops, so to speak, they go back to the levels that they were at to start all of this.
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And when I look at the AI complex, there are a lot of things that fundamentally are working in that complex.
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If you look at the hyperscalers, they've committed to spend $755 billion this year in CapEx, which that number is just completely mind-blowing.
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That's up 38% year over year in terms of CapEx growth.
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And that's why the semiconductor earnings are always beating because there's just so much CapEx going into the trade.
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So do I think that when things start to draw down
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that they're going to go back to levels that we saw two years ago?
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No, I don't.
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But what I will say is that we have something called the GS risk appetite indicator, which is effectively a measure of how willing our clients are to take risk
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and how willing the market is to put on risk.
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That's at five-year highs.
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You look at our prime book, semiconductor exposure is making new record highs every single day.
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And so what I do think the market is underappreciating is that even in uptrends, you can have two-way volatility.
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Things don't just go up all the time, they can also have violent corrections.
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And we haven't really seen that.
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And what worries me a bit more about the market right now, especially the semiconductors and AI story, is how much leverage there is in the system.
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There are a lot of levered ETF products that have launched
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that get you two times exposure to semiconductors or three times exposure to semiconductors.
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And those products inherently are what we call short gamma products, meaning to keep their constant leverage on days when the underlier is up, they need to buy a bunch on the rebalance.
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And when days when it goes down, they need to sell a lot.
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And so the reason that worries me is as leverage increases and as positioning and exposure increases,
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you could have a moment where something fundamental comes out that's negative and a stock should be down 3%.
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But because of all these deleveraging forces that exist in the market, 3% can turn into 10% very quickly on the downside, just like we've seen it turn into that on the upside.
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And I think that that's something that's underappreciated.
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Now, does that mean that we're in a bubble because we can have a 10 or 20 percent drawdown?
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Absolutely not.
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But it does mean that there could be some two-way volatility in the market.
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That's a great point.
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When you have a forced seller in there in a leverage situation, it can exacerbate downturns.
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Talk to me a little bit more about the AI trade then.
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Where is it now?
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What's the theme that you want to play in that AI trade?
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You know, so for the past three, three and a half years, AI has been the talk of not just the U.S markets now, but even more so now recently, the international markets.
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And when I look at the evolution of the AI trade, you know, at the end of 2022, beginning of 2023, it started with people looking for the picks and shovels, which were the semiconductors.
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Then it kind of expanded to the people funding AI, which are the hyperscalers via CapEx.
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And then it transitioned to the data centers, the people who are powering the AI trade, and then AI equipment.
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So in the last six months, what's really been in trend has been memory chips.
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Memory chips are things that have been around for decades.
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But now that there's an AI application, there is a lot of euphoria in names that have to do with AI memory.
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More recently, it's shifted to fiber optic cables,
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which are effectively the cables that allow for high-speed transfer of data within these AI data centers.
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And those are more efficient than the previously used copper cables.
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And so this optical networking theme is up over 100% year to date.
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Yeah, it's fascinating.
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It's almost like walking through the AI hardware store and trying to pick out the shovels that we're short of.
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Absolutely.
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That's a great idea.
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All right.
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So what's the tray.
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Our baskets team sees the next spinoff or the next iteration of the AI equipment trade being within liquid cooling.
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So traditional data centers consume a lot of electricity using traditional air cooling systems.
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Almost as much goes into cooling as it does to actually producing the AI.
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But with liquid cooling technology you can significantly reduce by as much as 10 times the amount of electricity
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that goes towards cooling.
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And you can shift that more towards the power and distribution of actually fueling the AI trade.
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And so we think that's where the puck is going.
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The theme's up about 30 percent year to date.
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And we're seeing that trend catch on with a lot of data centers looking for that type of equipment.
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All right.
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We're in the middle of May.
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Traditionally, this is selling May.
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Go away.
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What are you looking for, though, over the next month or two?
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I think the most important thing is to watch back-end bond yields.
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So this morning, as we're talking, 30-year yields have eclipsed the 5% mark, which is a huge psychological level to even equity investors who
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look at yields for a lot of their tech investments or a lot of their more levered equity investments, etc. And I think that,
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again, it speaks to the tough position that we're in with rising inflation into a potentially weaker growth environment.
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We also have about 10 to 15 percent of the earnings season left with the largest company in the United States, largest company in the world reporting earnings next week,
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which will continue to show signs of how CapEx is being spent in the AI trade
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and the next steps of the AI trade.
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And then lastly, you have the U.S and China meeting this week.
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And I think that that's really important because when you look at China equities, those have been the notable underperformer in terms of the rest of the world.
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You've had such strong performance in Japan, Korea, Brazil.
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And I think that a lot of investors are looking to China as are things going to open up more?
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And are some of the China tech companies and China AI an investable story going forward?
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And maybe we'll learn more after these meetings.
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Yeah, three important things to look at.
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Rates, semis, and China.
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We will keep our eyes open.
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Sean, thanks so much for joining us today.
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Thank you for having me.
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That does it for this week's episode of The Markets.
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I'm Chris Hussey.
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Thanks for listening.
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The opinions and views expressed herein are as of the date of publication, subject to change without notice, and may not necessarily reflect the institutional views of Goldman Sachs or its affiliates.
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The material provided is intended for informational purposes only and does not constitute investment advice, a recommendation from any Goldman Sachs entity to take any particular action,
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このレッスンでは、金融市場におけるAI技術の影響について学ぶことができます。特に、米国の株式市場におけるAI関連株の成長を示すデータやその背景を通じて、実務的な英語表現や語彙を習得します。このビデオを通じて、英語のスピーキングスキルを向上させるための効果的な練習法も紹介します。
重要な語彙とフレーズ
- Geopolitical conflict（地政学的対立）
- EPS growth（1株あたり利益成長）
- Market indices（市場指標）
- AI stocks（AI株）
- Cyclical equities（循環株）
- Inflation shock（インフレーションショック）
- Home builder space（住宅建設関連）
- Trade（取引）
練習のコツ
このビデオの内容は速いペースで話されていますが、shadowspeakやshadowingのテクニックを使用することで、理解力と発音を向上させることができます。スピーカーのトーンや速度を意識しながら、一文ずつ繰り返し声に出してみてください。例えば、重要なフレーズを一緒に発音することで、英語スピーキング練習において自然なリズムと流れを身につけることができます。shadowspeaksの練習を通じて、より自信を持って英会話に臨めるようになります。
また、特に市場や経済の専門用語を学ぶことで、日常会話だけでなくビジネス英語にも対応できるようになります。初めのうちは難しく感じるかもしれませんが、継続的な練習が大切です。是非、繰り返しこのビデオを視聴し、表現力を高めていきましょう。
シャドーイングとは？英語上達に効果的な理由
シャドーイング（Shadowing）は、もともとプロの通訳者養成プログラムで開発された言語学習法で、多言語習得者として知られるDr. Alexander Arguelles によって広く普及されました。方法はシンプルですが非常に効果的：ネイティブスピーカーの英語を聞きながら、1〜2秒の遅延で声に出してすぐに繰り返す——まるで「影（shadow）」のように話者を追いかけます。文法ドリルや受動的なリスニングと異なり、シャドーイングは脳と口の筋肉が同時にリアルタイムで英語を処理・再現することを強制します。研究により、発音精度、抑揚、リズム、連音、リスニング力、そして会話の流暢さが大幅に向上することが確認されています。IELTSスピーキング対策や自然な英語コミュニケーションを目指す方に特におすすめです。