Tag: prior

  • Discovery of massive early galaxies defies prior understanding of the universe

    Scientists have discovered six massive galaxies in the early universe, upending what was previously understood about galaxy formation. Using the first dataset from NASA\’s James Webb Space Telescope, the international team of scientists found objects as mature as the Milky Way when the universe was only 3% of its current age. This discovery calls into question the models for cosmology and the scientific understanding of galaxy formation in the early universe. To confirm their findings, the team needs to take a spectrum image of the massive galaxies. Follow the Penn State Astronomy & Astrophysics Facebook group for updates about this groundbreaking research.



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  • SignalFire\’s founder says his VC firm lost staffers who \”thought we were too cheap\” in prior years

    For most founders, being seen by employees as cheap isn’t exactly a badge of honor, but venture investor Chris Farmer doesn’t mind. While Farmer’s 10-year-old, seed-stage venture firm SignalFire lost frustrated employees who weren’t able to compete for deals when the market was at its most frothy, he says, holding the line on price appears poised to pay off at long last.

    For one thing, limited partners just committed a whopping $900 million to the firm across four new funds, doubling in one fell swoop the amount of money that SignalFire has raised previously. Farmer — who says that SignalFire began “pumping the brakes” in 2018 because it “saw the valuations were decoupling relative to company traction” —  is further being vindicated as valuations continue to plummet and founder expectations get reset.

    So what did Farmer see that others looked past? Data and lots of it, he says. We talked last week with Farmer about that data — which has been a source of pride for SignalFire since its outset — and why he thinks it continues to give the firm an edge, even while many other venture firms have become similarly data driven over the last decade. Questions and answers below have been edited and condensed for clarity.

    You’ve raised a bunch of money across four funds but you aren’t breaking out how much each fund is managing. Why?

    We don’t really break it out because it doesn’t really matter, [but broadly] we have hundreds of millions for seed [stage companies]; we have several hundred million to follow on those companies through a breakout vehicle, which most of the companies are alumni and then there’s some net new companies, as well. We’ve also been doing XIR [experts-in-residence] for a while, pairing operators who have built multibillion dollar businesses with an entrepreneur with whom they have good chemistry and whose company typically has $5 million to $10 million in revenue; they join the board and get involved typically one to three days a week to help scale up the business in sort of like an executive chair mode.

    And in return, they receive. . .

    They get advisor shares. They write a check themselves concurrently with us. And then they get some upside from the fund.

    You’ve said previously that SignalFire has access to 100 major data sets that your “competitive data nerds” pore over to figure out what’s happening in the world, but it seems like this approach has been copied by other firms, so what is your biggest differentiator today?

    I actually think that our competitors have dropped back. It’s actually shocking to me how much they’ve not caught up with us and how we’re farther ahead than we’ve ever been, which is not at all what I expected. There are a lot of funds that are doing something with data, but [that basically means] having a Bloomberg terminal. It’s nothing like what we have. Every time we look at a deal or turn it down, the machine learns. We’re the only venture firm with a true ML system where it’s a closed loop.

    What proof do you have that what you’ve built works?

    We have a very strong track record of getting in front of things before anyone else because of our data. We participated in every round of Frame.io starting at the seed; we earned our way into its Series A based on over-delivering services after losing the lead in the seed round to Accel. The company was acquired by Adobe in August 2021 for $1.27 billion. We led Flock Freight’s seed round in November 2015, and subsequently participated in every follow-on round through the Series D in October 2021.

    We saw customer traction in credit card data for Grammarly and leveraged a pre-existing relationship with the founder to acquire shares in 2017 and 2019. Its recruiting team uses our talent tools to help source potential employees; it’s profitable and raised $200 million in November 2021 . . .

    You’ve said your data drove you to pump the brakes, beginning in 2018.

    We use the data to manage risk in a way that VCs typically don’t, so we started pumping the brakes in 2018 because we saw the valuations were decoupling relative to company traction because we can see it in the data. [We as a firm] were pumping the brakes from 2018 to 2021, in fact. We actually lowered our entry cost basis into companies during that period. We went pre seed we took more execution and fundraising risk. And we didn’t overpay for things the way that other VC firms did. And so that’s one of the reasons we were able to scale up into this capital market. Because LPs recognize that now we’re going on the offense when everyone else is pulling back.

    You think valuations are definitely pulling back.

    Yeah, I mean, a lot of the major firms are licking their wounds because they got way overextended and put way too much capital in at way too high a valuation, which we totally avoided doing and worked really hard to avoid. I lost people as a result of them leaving the firm because they didn’t think we could compete because we were too cheap. So we were definitely swimming upstream. But now, we’re able to be out there very aggressively, pursuing market opportunities and supporting founders because of the new capital base but also the systems and support that we built, as well.

    Who left because they thought you were too cheap?

    I’m not gonna go into it now, but people got frustrated. To them, it was like, ‘We can’t compete with the term sheets from XYZ Big Name Firm.’ They wanted to win deals, but you’ve got to win in a way where you can be good fiduciaries and return the kind of capital that LPs expect. If you have a hugely high entry point, I mean, a lot of these companies are going to really struggle to ever grow into the valuations that they once had.

    It’s expected to get worse before it gets better. Despite your focus on pre-seed and seed-stage outfits, do you imagine investing opportunistically in companies that maybe got over their skis in terms of valuation?

    We’re not doing a lot of saving companies that raised crazy valuations. We’re focused on the next generation.



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  • SignalFire\’s founder says his VC firm lost staffers who \”thought we were too cheap\” in prior years

    For most founders, being seen by employees as cheap isn’t exactly a badge of honor, but venture investor Chris Farmer doesn’t mind. While Farmer’s 10-year-old, seed-stage venture firm SignalFire lost frustrated employees who weren’t able to compete for deals when the market was at its most frothy, he says, holding the line on price appears poised to pay off at long last.

    For one thing, limited partners just committed a whopping $900 million to the firm across four new funds, doubling in one fell swoop the amount of money that SignalFire has raised previously. Farmer — who says that SignalFire began “pumping the brakes” in 2018 because it “saw the valuations were decoupling relative to company traction” —  is further being vindicated as valuations continue to plummet and founder expectations get reset.

    So what did Farmer see that others looked past? Data and lots of it, he says. We talked last week with Farmer about that data — which has been a source of pride for SignalFire since its outset — and why he thinks it continues to give the firm an edge, even while many other venture firms have become similarly data driven over the last decade. Questions and answers below have been edited and condensed for clarity.

    You’ve raised a bunch of money across four funds but you aren’t breaking out how much each fund is managing. Why?

    We don’t really break it out because it doesn’t really matter, [but broadly] we have hundreds of millions for seed [stage companies]; we have several hundred million to follow on those companies through a breakout vehicle, which most of the companies are alumni and then there’s some net new companies, as well. We’ve also been doing XIR [experts-in-residence] for a while, pairing operators who have built multibillion dollar businesses with an entrepreneur with whom they have good chemistry and whose company typically has $5 million to $10 million in revenue; they join the board and get involved typically one to three days a week to help scale up the business in sort of like an executive chair mode.

    And in return, they receive. . .

    They get advisor shares. They write a check themselves concurrently with us. And then they get some upside from the fund.

    You’ve said previously that SignalFire has access to 100 major data sets that your “competitive data nerds” pore over to figure out what’s happening in the world, but it seems like this approach has been copied by other firms, so what is your biggest differentiator today?

    I actually think that our competitors have dropped back. It’s actually shocking to me how much they’ve not caught up with us and how we’re farther ahead than we’ve ever been, which is not at all what I expected. There are a lot of funds that are doing something with data, but [that basically means] having a Bloomberg terminal. It’s nothing like what we have. Every time we look at a deal or turn it down, the machine learns. We’re the only venture firm with a true ML system where it’s a closed loop.

    What proof do you have that what you’ve built works?

    We have a very strong track record of getting in front of things before anyone else because of our data. We participated in every round of Frame.io starting at the seed; we earned our way into its Series A based on over-delivering services after losing the lead in the seed round to Accel. The company was acquired by Adobe in August 2021 for $1.27 billion. We led Flock Freight’s seed round in November 2015, and subsequently participated in every follow-on round through the Series D in October 2021.

    We saw customer traction in credit card data for Grammarly and leveraged a pre-existing relationship with the founder to acquire shares in 2017 and 2019. Its recruiting team uses our talent tools to help source potential employees; it’s profitable and raised $200 million in November 2021 . . .

    You’ve said your data drove you to pump the brakes, beginning in 2018.

    We use the data to manage risk in a way that VCs typically don’t, so we started pumping the brakes in 2018 because we saw the valuations were decoupling relative to company traction because we can see it in the data. [We as a firm] were pumping the brakes from 2018 to 2021, in fact. We actually lowered our entry cost basis into companies during that period. We went pre seed we took more execution and fundraising risk. And we didn’t overpay for things the way that other VC firms did. And so that’s one of the reasons we were able to scale up into this capital market. Because LPs recognize that now we’re going on the offense when everyone else is pulling back.

    You think valuations are definitely pulling back.

    Yeah, I mean, a lot of the major firms are licking their wounds because they got way overextended and put way too much capital in at way too high a valuation, which we totally avoided doing and worked really hard to avoid. I lost people as a result of them leaving the firm because they didn’t think we could compete because we were too cheap. So we were definitely swimming upstream. But now, we’re able to be out there very aggressively, pursuing market opportunities and supporting founders because of the new capital base but also the systems and support that we built, as well.

    Who left because they thought you were too cheap?

    I’m not gonna go into it now, but people got frustrated. To them, it was like, ‘We can’t compete with the term sheets from XYZ Big Name Firm.’ They wanted to win deals, but you’ve got to win in a way where you can be good fiduciaries and return the kind of capital that LPs expect. If you have a hugely high entry point, I mean, a lot of these companies are going to really struggle to ever grow into the valuations that they once had.

    It’s expected to get worse before it gets better. Despite your focus on pre-seed and seed-stage outfits, do you imagine investing opportunistically in companies that maybe got over their skis in terms of valuation?

    We’re not doing a lot of saving companies that raised crazy valuations. We’re focused on the next generation.



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  • SignalFire\’s founder says his VC firm lost staffers who \”thought we were too cheap\” in prior years

    For most founders, being seen by employees as cheap isn’t exactly a badge of honor, but venture investor Chris Farmer doesn’t mind. While Farmer’s 10-year-old, seed-stage venture firm SignalFire lost frustrated employees who weren’t able to compete for deals when the market was at its most frothy, he says, holding the line on price appears poised to pay off at long last.

    For one thing, limited partners just committed a whopping $900 million to the firm across four new funds, doubling in one fell swoop the amount of money that SignalFire has raised previously. Farmer — who says that SignalFire began “pumping the brakes” in 2018 because it “saw the valuations were decoupling relative to company traction” —  is further being vindicated as valuations continue to plummet and founder expectations get reset.

    So what did Farmer see that others looked past? Data and lots of it, he says. We talked last week with Farmer about that data — which has been a source of pride for SignalFire since its outset — and why he thinks it continues to give the firm an edge, even while many other venture firms have become similarly data driven over the last decade. Questions and answers below have been edited and condensed for clarity.

    You’ve raised a bunch of money across four funds but you aren’t breaking out how much each fund is managing. Why?

    We don’t really break it out because it doesn’t really matter, [but broadly] we have hundreds of millions for seed [stage companies]; we have several hundred million to follow on those companies through a breakout vehicle, which most of the companies are alumni and then there’s some net new companies, as well. We’ve also been doing XIR [experts-in-residence] for a while, pairing operators who have built multibillion dollar businesses with an entrepreneur with whom they have good chemistry and whose company typically has $5 million to $10 million in revenue; they join the board and get involved typically one to three days a week to help scale up the business in sort of like an executive chair mode.

    And in return, they receive. . .

    They get advisor shares. They write a check themselves concurrently with us. And then they get some upside from the fund.

    You’ve said previously that SignalFire has access to 100 major data sets that your “competitive data nerds” pore over to figure out what’s happening in the world, but it seems like this approach has been copied by other firms, so what is your biggest differentiator today?

    I actually think that our competitors have dropped back. It’s actually shocking to me how much they’ve not caught up with us and how we’re farther ahead than we’ve ever been, which is not at all what I expected. There are a lot of funds that are doing something with data, but [that basically means] having a Bloomberg terminal. It’s nothing like what we have. Every time we look at a deal or turn it down, the machine learns. We’re the only venture firm with a true ML system where it’s a closed loop.

    What proof do you have that what you’ve built works?

    We have a very strong track record of getting in front of things before anyone else because of our data. We participated in every round of Frame.io starting at the seed; we earned our way into its Series A based on over-delivering services after losing the lead in the seed round to Accel. The company was acquired by Adobe in August 2021 for $1.27 billion. We led Flock Freight’s seed round in November 2015, and subsequently participated in every follow-on round through the Series D in October 2021.

    We saw customer traction in credit card data for Grammarly and leveraged a pre-existing relationship with the founder to acquire shares in 2017 and 2019. Its recruiting team uses our talent tools to help source potential employees; it’s profitable and raised $200 million in November 2021 . . .

    You’ve said your data drove you to pump the brakes, beginning in 2018.

    We use the data to manage risk in a way that VCs typically don’t, so we started pumping the brakes in 2018 because we saw the valuations were decoupling relative to company traction because we can see it in the data. [We as a firm] were pumping the brakes from 2018 to 2021, in fact. We actually lowered our entry cost basis into companies during that period. We went pre seed we took more execution and fundraising risk. And we didn’t overpay for things the way that other VC firms did. And so that’s one of the reasons we were able to scale up into this capital market. Because LPs recognize that now we’re going on the offense when everyone else is pulling back.

    You think valuations are definitely pulling back.

    Yeah, I mean, a lot of the major firms are licking their wounds because they got way overextended and put way too much capital in at way too high a valuation, which we totally avoided doing and worked really hard to avoid. I lost people as a result of them leaving the firm because they didn’t think we could compete because we were too cheap. So we were definitely swimming upstream. But now, we’re able to be out there very aggressively, pursuing market opportunities and supporting founders because of the new capital base but also the systems and support that we built, as well.

    Who left because they thought you were too cheap?

    I’m not gonna go into it now, but people got frustrated. To them, it was like, ‘We can’t compete with the term sheets from XYZ Big Name Firm.’ They wanted to win deals, but you’ve got to win in a way where you can be good fiduciaries and return the kind of capital that LPs expect. If you have a hugely high entry point, I mean, a lot of these companies are going to really struggle to ever grow into the valuations that they once had.

    It’s expected to get worse before it gets better. Despite your focus on pre-seed and seed-stage outfits, do you imagine investing opportunistically in companies that maybe got over their skis in terms of valuation?

    We’re not doing a lot of saving companies that raised crazy valuations. We’re focused on the next generation.



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  • SignalFire\’s founder says his VC firm lost staffers who \”thought we were too cheap\” in prior years

    For most founders, being seen by employees as cheap isn’t exactly a badge of honor, but venture investor Chris Farmer doesn’t mind. While Farmer’s 10-year-old, seed-stage venture firm SignalFire lost frustrated employees who weren’t able to compete for deals when the market was at its most frothy, he says, holding the line on price appears poised to pay off at long last.

    For one thing, limited partners just committed a whopping $900 million to the firm across four new funds, doubling in one fell swoop the amount of money that SignalFire has raised previously. Farmer — who says that SignalFire began “pumping the brakes” in 2018 because it “saw the valuations were decoupling relative to company traction” —  is further being vindicated as valuations continue to plummet and founder expectations get reset.

    So what did Farmer see that others looked past? Data and lots of it, he says. We talked last week with Farmer about that data — which has been a source of pride for SignalFire since its outset — and why he thinks it continues to give the firm an edge, even while many other venture firms have become similarly data driven over the last decade. Questions and answers below have been edited and condensed for clarity.

    You’ve raised a bunch of money across four funds but you aren’t breaking out how much each fund is managing. Why?

    We don’t really break it out because it doesn’t really matter, [but broadly] we have hundreds of millions for seed [stage companies]; we have several hundred million to follow on those companies through a breakout vehicle, which most of the companies are alumni and then there’s some net new companies, as well. We’ve also been doing XIR [experts-in-residence] for a while, pairing operators who have built multibillion dollar businesses with an entrepreneur with whom they have good chemistry and whose company typically has $5 million to $10 million in revenue; they join the board and get involved typically one to three days a week to help scale up the business in sort of like an executive chair mode.

    And in return, they receive. . .

    They get advisor shares. They write a check themselves concurrently with us. And then they get some upside from the fund.

    You’ve said previously that SignalFire has access to 100 major data sets that your “competitive data nerds” pore over to figure out what’s happening in the world, but it seems like this approach has been copied by other firms, so what is your biggest differentiator today?

    I actually think that our competitors have dropped back. It’s actually shocking to me how much they’ve not caught up with us and how we’re farther ahead than we’ve ever been, which is not at all what I expected. There are a lot of funds that are doing something with data, but [that basically means] having a Bloomberg terminal. It’s nothing like what we have. Every time we look at a deal or turn it down, the machine learns. We’re the only venture firm with a true ML system where it’s a closed loop.

    What proof do you have that what you’ve built works?

    We have a very strong track record of getting in front of things before anyone else because of our data. We participated in every round of Frame.io starting at the seed; we earned our way into its Series A based on over-delivering services after losing the lead in the seed round to Accel. The company was acquired by Adobe in August 2021 for $1.27 billion. We led Flock Freight’s seed round in November 2015, and subsequently participated in every follow-on round through the Series D in October 2021.

    We saw customer traction in credit card data for Grammarly and leveraged a pre-existing relationship with the founder to acquire shares in 2017 and 2019. Its recruiting team uses our talent tools to help source potential employees; it’s profitable and raised $200 million in November 2021 . . .

    You’ve said your data drove you to pump the brakes, beginning in 2018.

    We use the data to manage risk in a way that VCs typically don’t, so we started pumping the brakes in 2018 because we saw the valuations were decoupling relative to company traction because we can see it in the data. [We as a firm] were pumping the brakes from 2018 to 2021, in fact. We actually lowered our entry cost basis into companies during that period. We went pre seed we took more execution and fundraising risk. And we didn’t overpay for things the way that other VC firms did. And so that’s one of the reasons we were able to scale up into this capital market. Because LPs recognize that now we’re going on the offense when everyone else is pulling back.

    You think valuations are definitely pulling back.

    Yeah, I mean, a lot of the major firms are licking their wounds because they got way overextended and put way too much capital in at way too high a valuation, which we totally avoided doing and worked really hard to avoid. I lost people as a result of them leaving the firm because they didn’t think we could compete because we were too cheap. So we were definitely swimming upstream. But now, we’re able to be out there very aggressively, pursuing market opportunities and supporting founders because of the new capital base but also the systems and support that we built, as well.

    Who left because they thought you were too cheap?

    I’m not gonna go into it now, but people got frustrated. To them, it was like, ‘We can’t compete with the term sheets from XYZ Big Name Firm.’ They wanted to win deals, but you’ve got to win in a way where you can be good fiduciaries and return the kind of capital that LPs expect. If you have a hugely high entry point, I mean, a lot of these companies are going to really struggle to ever grow into the valuations that they once had.

    It’s expected to get worse before it gets better. Despite your focus on pre-seed and seed-stage outfits, do you imagine investing opportunistically in companies that maybe got over their skis in terms of valuation?

    We’re not doing a lot of saving companies that raised crazy valuations. We’re focused on the next generation.



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  • Govt’s ‘attached bodies’: Finance Div seeks prior vetting of rules

    اسلام آباد: فنانس ڈویژن نے تمام وزارتوں/ ڈویژنوں پر زور دیا ہے جن میں خود مختار/ نیم خودمختار ادارے/ کارپوریشنز ہیں اپنے قوانین کی پہلے سے جانچ پڑتال کریں جن کے مالی اثرات ہیں۔

    فنانس ڈویژن نے تمام وزارتوں/ ڈویژن اور آڈیٹر جنرل آف پاکستان کو لکھے گئے خط میں کہا ہے کہ رولز آف بزنس 1973 کے پیرا 12(1) میں کہا گیا ہے کہ کوئی بھی ڈویژن فنانس ڈویژن کے ساتھ سابقہ ​​مشاورت کے بغیر کسی حکم کے اجراء کی اجازت نہیں دے گا۔ ، فنانس ڈویژن کی طرف سے بنائے گئے کسی بھی عام یا خصوصی وفد کی پیروی کے احکامات کے علاوہ، جس میں سرکاری ملازمین کی سروس کی شرائط و ضوابط، ان کے قانونی حقوق، مراعات میں تبدیلی شامل ہو گی جس کے مالی اثرات ہوں گے اور ان کے مالیات پر اثر پڑے گا۔ فیڈریشن براہ راست یا بالواسطہ۔

    عالیہ زیدی، سیکشن آفیسر (ریگولیشن-14) نے اپنے خط میں وزارتوں/ ڈویژن کو آگاہ کیا ہے کہ، پیرا 12(16) کے شیڈول I کے رولز آف بزنس 1973 کے مطابق، فنانس ڈویژن تنخواہ اور الاؤنسز پر قواعد وضع کرنے کا ذمہ دار ہے۔ ، ریٹائرمنٹ کے فوائد، چھٹی کے فوائد اور دیگر مالی شرائط و ضوابط۔

    بنیادی تنخواہ کا 150 فیصد: وفاقی سیکرٹریٹ افسران کے ایگزیکٹو الاؤنس میں اضافہ

    مزید، پبلک فنانس مینجمنٹ ایکٹ، 2019 کے سیکشن 18 کے تحت ہر وزارت/ ڈویژن/ محکمے کے لیے لازمی ہے کہ وہ مالیاتی مضمرات رکھنے والی اپنی قانون سازی کی تجاویز شروع کرتے ہوئے، تنخواہ اور الاؤنسز، ریٹائرمنٹ کے فوائد، چھٹیوں کے فوائد سے متعلق اپنے قواعد وضع کرنے سے متعلق فنانس ڈویژن سے مشورہ کریں۔ اس کے ساتھ ساتھ، دیگر مالیاتی شرائط و ضوابط، اس نے مزید کہا۔

    ان قواعد کی روشنی میں، فنانس ڈویژن کے ریگولیشنز ونگ مالیاتی مضمرات رکھنے والی تمام قانون سازی کی تجاویز کو جانچتا ہے، جنہیں متعلقہ خود مختار/ نیم خودمختار اداروں/ کارپوریشنوں کے ذریعے ان کی متعلقہ وزارتوں/ ڈویژنوں کے ذریعے بھیجا جاتا ہے۔ لیکن، یہ دیکھا گیا ہے کہ خود مختار/ نیم خودمختار اداروں/ کارپوریشنوں کی اکثریت نے وفاقی حکومت/ فنانس ڈویژن کی پیشگی منظوری حاصل نہیں کی ہے۔

    فنانس ڈویژن نے نشاندہی کی ہے کہ سپریم کورٹ آف پاکستان نے سول اپیلز نمبر 1428 تا 1436 2016 میں اپنے فیصلے میں یہ نتیجہ اخذ کیا کہ \”رولز آف بزنس، 1973 حکومت پر پابند ہیں اور ان پر عمل نہ کرنے سے حکم کی کمی ہو گی۔ کوئی قانونی جواز\”۔

    فنانس ڈویژن نے برقرار رکھا کہ یہ ان تمام وزارتوں/ ڈویژنوں پر پابند ہے جن کے انتظامی کنٹرول میں خود مختار/ نیم خودمختار ادارے/ کارپوریشنز ہیں، وہ رولز آف بزنس، 1973 کے پیراز 12(1) اور 12(16) شیڈول II کے نفاذ کو یقینی بنائیں۔

    فنانس ڈویژن نے تمام وزارتوں/ ڈویژنوں پر زور دیا ہے کہ وہ ان ہدایات کو ان کے انتظامی کنٹرول میں خود مختار/ نیم خودمختار اداروں/ کارپوریشنوں تک پہنچائیں تاکہ ان اداروں کے قواعد کی جانچ پڑتال کے لیے مزید ضروری کارروائی کی جا سکے جن کے قواعد کی ابھی فنانس ڈویژن کی طرف سے جانچ کرنا باقی ہے۔

    کاپی رائٹ بزنس ریکارڈر، 2023



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  • Govt, IMF finalise ‘prior actions’, no word yet on key accord

    • مشن کی جانب سے اختتامی بیان \’جلد ہی متوقع\’، جس کے بعد عملے کی سطح کے معاہدے کی پیروی کی جائے گی، فنانس سیکریٹری کا کہنا ہے کہ
    • انتظامیہ کی منظوری کے منتظر وفد کا دعویٰ، ایک دو دنوں میں MEFP دستاویز شیئر کرنے کا \’وعدہ\’ کیا ہے

    اسلام آباد: حکومت نے جمعرات کو کہا کہ اس نے بین الاقوامی مالیاتی فنڈ (آئی ایم ایف) کے ساتھ 7 بلین ڈالر کی توسیعی فنڈ سہولت (ای ایف ایف) کے نویں جائزے کو مکمل کرنے کے لیے پیشگی اقدامات پر اتفاق کیا ہے، لیکن عملے کی سطح کا معاہدہ (ایس ایل اے)۔ میمورنڈم آف اکنامک اینڈ فنانشل پالیسیز (MEFP) پر 10 روزہ بات چیت کے اختتام پر غیر تسلی بخش رہا۔

    سیکرٹری خزانہ حامد یعقوب شیخ نے کہا کہ تمام معاملات طے پا گئے ہیں اور پیشگی اقدامات پر اتفاق کیا گیا ہے۔ انہوں نے کہا کہ SLA کو آنے والے دنوں میں حتمی شکل دے دی جائے گی، کیونکہ دورہ کرنے والے مشن نے کچھ ایسے نکات پر اتفاق کیا تھا جو اس کے ساتھ پاکستان کے مینڈیٹ سے باہر تھے۔

    تاہم، انہوں نے یہ بتانے سے انکار کر دیا کہ کتنے اور کن پیشگی اقدامات پر اتفاق کیا گیا تھا، یہ کہتے ہوئے کہ ان تمام تفصیلات کی پیروی ممکنہ طور پر جمعہ کو ہو گی۔

    مشن اب واپس جا رہا ہے اور فنڈ کی انتظامیہ کو ان معاملات کی وضاحت کرے گا، جس میں دو سے تین دن لگ سکتے ہیں۔

    پاکستان سے نکلتے ہی آئی ایم ایف کے وفد نے، جس کی قیادت اس کے پاکستانی مشن کے سربراہ نیتھن پورٹر کر رہے تھے، نے وزیر خزانہ اسحاق ڈار کو واشنگٹن میں آئی ایم ایف کے ہیڈ آفس سے ایک اختتامی بیان کی منظوری سے قبل ایک وعدہ شدہ نیوز کانفرنس کرنے سے روک دیا۔

    مسٹر شیخ نے کہا کہ بدقسمتی سے وزیر خزانہ وعدے کے مطابق میڈیا سے بات نہیں کر سکیں گے کیونکہ فنڈ کے مشن کا خیال تھا کہ واشنگٹن کی طرف سے اختتامی بیان کی منظوری سے قبل کوئی بات چیت نہیں ہونی چاہیے۔

    وہ اس کا انتظار کر رہے ہیں اور ہم بھی انتظار کر رہے ہیں۔ وہ تعاقب کر رہے ہیں،\” انہوں نے مزید کہا کہ حکومت صرف صحافیوں سے بات کر سکتی ہے جب آئی ایم ایف کی طرف سے حتمی بیان جاری ہو جائے۔

    ایک سوال کے جواب میں، انہوں نے واضح کیا کہ SLA کو بعد میں پہنچایا جائے گا اور اس بات کی بھی تصدیق کی کہ MEFP کا مسودہ ابھی تک فنڈ مشن نے پاکستان کے ساتھ شیئر نہیں کیا ہے۔

    انہوں نے کہا کہ حکومتی ٹیم نے اصرار کیا کہ وفد کو مشن کے اختتامی بیان کو جاری کرنا چاہیے اور MEFP کو شیئر کرنا چاہیے کیونکہ وسیع بات چیت کے بعد سب کچھ طے پا گیا تھا۔

    MEFP ایک اہم دستاویز ہے جو ان تمام شرائط، اقدامات اور پالیسی اقدامات کو بیان کرتی ہے جن کی بنیاد پر دونوں فریق عملے کی سطح کے معاہدے کا اعلان کرتے ہیں۔

    لیکن انہوں نے کہا کہ وہ واشنگٹن واپس آنے کے بعد ایک دو دنوں میں MEFP کا اشتراک کریں گے۔ فنانس سکریٹری نے تاہم، طے شدہ پیشگی اقدامات، ان کی ترتیب اور نفاذ کے طریقہ کار کے بارے میں بات کرنے سے انکار کردیا۔

    ایک سوال کے جواب میں، انہوں نے کہا کہ دونوں فریقین نے مالیاتی اور بیرونی امداد کے تخمینوں سمیت میکرو اکنامک ڈیٹا پر پیشگی کارروائیوں کا مسودہ اور نو دیگر جدولوں کا اشتراک اور تبادلہ خیال کیا ہے۔ انہوں نے کہا کہ آج تمام معاملات طے پا گئے ہیں۔

    اس سوال کے جواب میں کہ آیا مشن کثیر جہتی، دو طرفہ اور تجارتی قرض دہندگان سے ملک کی بیرونی آمد سے مطمئن ہے، سیکرٹری نے کہا کہ فنڈ کے ایگزیکٹو بورڈ کی طرف سے ایس ایل اے کی منظوری کے وقت اس طرح کی یقین دہانیاں مانگی جاتی ہیں اور اس پہلو میں کوئی نئی بات نہیں ہے۔

    کوشش کریںthis.style.height=this.contentWindow.document.body.scrollHeight+\’px\’;کیچ, 100)\” width=\”100%\” frameborder=\”0\” scrolling=\”no\” style=\” height:400px;position:relative\” src=\”https://www.dawn.com/news/card/1736115\” sandbox=\”allow-same-origin allow-scripts allow-popups allow-modals allow-forms\”>

    انہوں نے کہا کہ مشن نے اپنی بات چیت مکمل کر لی ہے اور بقایا معاملات طے کر لیے ہیں، اس لیے ان کے مزید اسلام آباد میں رہنے کی کوئی وجہ نہیں ہے۔

    قبل ازیں وزیر مملکت برائے خزانہ و محصولات ڈاکٹر عائشہ غوث پاشا نے صحافیوں کو بتایا تھا کہ بقایا معاملات طے پا گئے ہیں اور پاور سیکٹر کے گردشی قرضے میں کمی کے حوالے سے بھی بڑے معاہدے طے پا گئے ہیں۔

    ایک اہلکار نے بتایا کہ حکومت کی طرف سے کیے گئے پہلے اقدامات میں بجلی کے بنیادی ٹیرف اور گیس کے نرخوں میں اضافہ، صنعتی شعبوں کو دی جانے والی تمام غیر بجٹ شدہ توانائی سبسڈیز کو واپس لینا اور فنڈ مشن کے لیے 10 دن کے اندر ٹیکس لگانے کے اقدامات کا سلسلہ شامل ہے۔ انتظامی منظوری حاصل کریں اور اگلے ماہ کے اوائل میں تقریباً 1.1 بلین ڈالر کی تقسیم کے لیے اس کے ایگزیکٹو بورڈ سے باضابطہ منظوری حاصل کریں۔

    پاکستان کے سرکاری زرمبادلہ کے ذخائر پہلے ہی غیر یقینی طور پر $2.9bn سے نیچے جا چکے ہیں، جو دو ہفتوں سے زیادہ کنٹرول شدہ درآمدات کو برقرار نہیں رکھ سکتے۔

    مسٹر شیخ نے کہا کہ حکومتی ٹیم نے بات چیت کو مکمل کرنے اور واشنگٹن سے ایک اختتامی بیان کی منظوری پر زور دیا جس کے بعد ہر چیز پر تفصیلی بات چیت کی گئی اور تمام مسائل کو نتیجہ اخذ کیا گیا۔

    تاہم، شاید وقت کے فرق کی وجہ سے ایسا نہ ہوسکا، حالانکہ وفد نے ایک دو دنوں میں ایم ای ایف پی کو شیئر کرنے کا وعدہ کیا۔

    ایک سوال کے جواب میں، انہوں نے کہا کہ آئی ایم ایف مشن کی طرف سے حتمی بیان جلد اور تازہ ترین جمعہ کی صبح تک متوقع تھا، لیکن SLA بعد میں پہنچ جائے گا۔

    اس سے قبل جمعرات کی شام وزیر خزانہ نے صحافیوں کو بتایا وزارت خزانہ کے باہر کہا کہ وہ آئی ایم ایف مشن کے ساتھ حتمی ملاقات کے بعد جلد واپس آجائیں گے اور متفقہ تفصیلات شیئر کریں گے۔ لیکن وہ واپس نہ آسکے اور وزیراعظم ہاؤس میں انتظار کرتے رہے جہاں وزیراعظم شہباز شریف نے لاہور سے ویڈیو لنک کے ذریعے مشن سے ملاقات میں بھی شرکت کی۔

    ذرائع نے بتایا کہ آئی ایم ایف نے مالیاتی منصوبے کو سیلاب کی بحالی پر تقریباً 500 ارب روپے کے اخراجات کی حد تک نرم کرنے پر رضامندی ظاہر کی ہے، جس سے بنیادی توازن میں تقریباً 600 ارب روپے کا خسارہ اخراجات میں کمی اور اضافی ٹیکس کے اقدامات کے ذریعے پورا کیا جائے گا۔

    تاہم، فنڈ اب بھی بیرونی مالیاتی وعدوں کے بارے میں پراعتماد نہیں تھا، خاص طور پر دوست ممالک – سعودی عرب، متحدہ عرب امارات اور چین – کے علاوہ کچھ دیگر کثیر جہتی فنڈنگ ​​کے علاوہ اور کہا کہ پاکستان کو اس بات کو یقینی بنانا ہوگا کہ یہ دوست آئی ایم ایف بورڈ کو یقین دہانیاں فراہم کریں۔ 1.1 بلین ڈالر کی قسط کی تقسیم کے لیے پاکستان کا معاملہ۔

    پہلے سے طے شدہ اقدامات کے تحت اب بجلی اور گیس کے نرخوں میں اضافے کا پیشگی عمل درآمد کیا جائے گا، جس کی وجہ سے وعدے پورے نہیں ہوئے ہیں۔ حکومت نے رواں مالی سال کے لیے تقریباً 950 ارب روپے کے فرق کو پورا کرنے کے لیے مطلوبہ بجلی کے ٹیرف ایڈجسٹمنٹ پر رضامندی ظاہر کر دی ہے۔

    ڈان میں شائع ہوا، 10 فروری 2023



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