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Dalal Street Week Ahead: Guard profits at higher levels, rotate investments in fatigued market

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[hfe_template id='11223'] [ad_1] The markets consolidated throughout the past week; the week was a shortened one with Monday, June 17, being a holiday on account of Bakri Eid. The past five sessions saw the markets staying in a capped range throughout the day. Even when the Nifty kept marking incremental highs, the intraday trend remained practically absent. The volatility also did not change much as compared to last week. The India Vix inched higher by just 2.79% to 13.18 on a weekly basis. The weekly trading range for the Nifty too remained much capped. The index oscillated in just 268.90 points range before posting a negligible weekly gain of 35.50 points (+0.15%). The coming week is an expiry week for the monthly derivative series. Besides this, over the past sessions, the markets are exhibiting clear signs of fatigue. It has frequently formed weak candles on the daily chart raising possibilities of it taking a breather and showing some measured corrective retracemen...

Should investors adjust their portfolios based on predictions of election outcomes?

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[hfe_template id='11223'] [ad_1] Imagine we are tasked with constructing a bridge, aiming to minimize costs while ensuring functionality. Ideally, if we could predict the exact volume of traffic and weather conditions for decades to come, we could design the bridge to meet these specific demands at minimal expense. However, reality is often unpredictable. Unexpected increases in traffic or unforeseen extreme weather can jeopardize the bridge’s structural integrity. A bridge designed for precisely predicted conditions is likely to fail under real-world uncertainty. Therefore, it is prudent, although more costly, to build a bridge that is robust enough to withstand conditions far beyond what is anticipated, thereby ensuring its longevity and safety. Optimization involves tweaking systems to maximize gains or minimize costs. If there is no uncertainty about the future, we should aim for optimization. However, in the presence of uncertainty, we should favor robustness of the...