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September 7, 2026
Rupee falls 13 paise to close at 94.56 against US dollar
Show AI Summary
Rupee exchange-rate movement reflected crude oil pressures, domestic equity weakness, foreign inflows, and a softer dollar.
Foreign-exchange market conditions resulted in the rupee closing weaker against the US dollar after initial support from foreign currency deposit inflows. Rising crude oil prices and weakness in domestic equity markets weighed on sentiment and offset support from a softer dollar and foreign investor equity purchases. Future movement may remain influenced by foreign inflows, crude oil prices, domestic market conditions, geopolitical tensions and inflation data.
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Challenge to surrogate advertising allegations concerns notices requiring brand ambassadors promoting Vimal Elaichi to prove that it differs from prohibited pan masala, halt promotions, and remove digital materials. The product promoter contests the notices because they were addressed only to the actors, it was not heard, and the regulator allegedly lacked jurisdiction to stop the advertisements. Territorial jurisdiction to entertain the challenge is also contested.
September 7, 2026
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Show AI Summary
Free trade agreements and cyber-fraud prevention feature in India's stated strategy for economic growth, security, and digital protection.
India's external economic strategy relies on diplomatic engagement, strategic partnerships and free trade agreements to sustain growth amid geopolitical uncertainty. Cooperation extends to defence, technology, energy, investment and trade, as well as digital public infrastructure, disaster relief and capacity building. Internal and border security are treated as conditions for national development, while police responsibilities include community safety, maritime protection and tourist safety. Growing cyber-fraud risks linked to the digital economy are addressed through coordination with states and the national cybercrime helpline.
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Show AI Summary
Financial fraud prevention advances through accessible complaints, cyber awareness, intelligence-sharing, and AI-based detection of mule accounts.
Financial-fraud prevention measures rely on coordinated review of alleged fraud, unauthorised deposit collection, complaints, market intelligence, investor protection and cyber threats. The SACHET portal supports market intelligence and complaints concerning unregulated financial activities through multilingual and accessibility features. MuleHunter.ai uses artificial intelligence and machine learning to identify mule accounts used in fraudulent fund flows. Financial-literacy programmes and accessible educational initiatives promote safe banking, fraud awareness and coordinated responses to cyber-enabled financial crime.
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Technology-driven tax dispute resolution supports faster tribunal processes, reduced litigation, and improved taxpayer services through digital filing and assessments.
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Show AI Summary
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No FEMA or RBI regulatory measure, compliance obligation, legal interpretation, or adjudicatory determination is identified. The subject matter concerns leadership, performance and entrepreneurship, with emphasis on preparation, decision-making under pressure, teamwork, recognising potential and supporting talent. Corporate success is linked with creating opportunities, contributing to society and building a lasting legacy. Zaggle is described as providing enterprise spend management, card-based financial products through banking partnerships and software offerings for corporate customers.
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Show AI Summary
AI-driven digital markets require competition scrutiny of autonomous pricing, self-preferencing, discriminatory pricing, tying, and market manipulation.
Artificial intelligence may accelerate anti-competitive conduct in digital markets through self-preferencing, discriminatory pricing, tying and market manipulation. Agentic AI may create particular concerns where it monitors competitors' prices and autonomously responds without direct human intervention. Competition law aims to prevent anti-competitive practices, promote competition, protect consumers and preserve freedom of trade, while allowing legitimate growth and innovation. Market dominance is not objectionable in itself; concern arises from abuse of dominance through exclusionary or exploitative practices.
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News and Press Release

Pradhan Mantri Mudra Yojana (PMMY)

March 6, 2018

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Pradhan Mantri Mudra Yojana (PMMY) is being implemented in all the States/Union Territories across the country. Details of number of loans and amount sanctioned under PMMY for 2015-16, 2016-17 and 2017-18 (as on 23.02.2018) is at Annexure.

Since the launch of the Stand-Up India Scheme on 05.04.2016, Scheduled Commercial Banks (SCBs) have sanctioned 54,733 loans under the scheme to Scheduled Castes (SCs), Scheduled Tribes (STs) and Women borrowers as on 28.02.2018. Some SCBs have so far not reported the loans extended by them under the scheme.

The Government has taken various steps towards effective implementation of the PMMY scheme. These, inter alia, include intensive publicity campaigns, simplification of application forms, Credit Guarantee Scheme, refinance from MUDRA Ltd, nomination of Mudra Nodal Officer, weekly video conferences to monitor the progress etc.

Annexure

State/UT-wise details of number of loans and amount sanctioned under Pradhan Mantri Mudra Yojana  [Amount Rs. in Crore]

Sr No

State Name

FY 2015-16

FY 2016-17

FY 2017-18 (as on 23/02/2018)

No Of A/Cs

Sanction Amt

No Of A/Cs

Sanction Amt

No Of A/Cs

Sanction Amt

1

Andaman and Nicobar Islands

24719

218.36

3353

80.15

3337

77.64

2

Andhra Pradesh

795688

6104.14

587569

6078.01

620637

7289.53

3

Arunachal Pradesh

4625

74.38

6109

81.46

8717

80.25

4

Assam

427272

1817.62

1255754

4908.3

1387444

4773.88

5

Bihar

2451439

7553.83

3756716

12190.6

3580230

12162.01

6

Chandigarh

22605

212.42

19039

229.01

13047

263.47

7

Chhattisgarh

639711

2265.5

884941

3334.27

704451

3161.89

8

Dadra and Nagar Haveli

1236

21.72

2587

23.49

2859

26.73

9

Daman and Diu

1109

12.43

774

12.61

868

16.42

10

Delhi

394388

2947.68

224975

3762.95

185697

3310.61

11

Goa

45471

399.33

31289

390.2

32934

393.11

12

Gujarat

1086407

6034.73

1103453

7781.94

1049616

7644.07

13

Haryana

745535

3259.27

716622

3843.53

600272

4069.71

14

Himachal Pradesh

85564

998.78

82851

1281.72

71569

1448.53

15

Jammu and Kashmir

57974

1185.13

89712

1845.37

85774

2112.25

16

Jharkhand

872868

2944.33

1023593

4004.13

969210

3995.27

17

Karnataka

4459609

16861.35

3933578

18002.55

3555452

16331.52

18

Kerala

830411

4857.68

982260

6288.62

1243824

6970.47

19

Lakshadweep

740

6.58

473

5.64

1052

14.04

20

Madhya Pradesh

2511191

8096.74

2683052

10506.45

2274797

10772.59

21

Maharashtra

3535065

13806.48

3344154

17286.66

2779841

15917.17

22

Manipur

24021

131.42

21865

156.05

23029

150.72

23

Meghalaya

19151

166.48

23915

189.97

21258

150.69

24

Mizoram

7772

86.5

6973

101.2

10462

124.94

25

Nagaland

5134

85.89

11051

114.06

12132

113.49

26

Odisha

2343261

5694.86

2606769

7891.34

3020902

9326.37

27

Pondicherry

82866

337.84

130360

490.62

114033

684.82

28

Punjab

653973

3572.42

705569

4640.84

645833

4954.27

29

Rajasthan

1159819

5484.95

1204837

9024.71

1241217

9263.92

30

Sikkim

6889

59.53

19865

99.88

19765

83.03

31

Tamil Nadu

4781567

15846.14

5309857

18052.68

4183919

17394.3

32

Telangana

400761

3834.55

482694

3878.38

282985

3349.71

33

Tripura

68146

372.06

253807

999.42

296742

1118.54

34

Uttar Pradesh

3345382

12275.88

3337547

15282.61

3430417

16239.09

35

Uttarakhand

360007

1788.39

286579

1974.12

208379

1970.88

36

West Bengal

2628548

8033.88

4566505

15695.01

4221283

16145.2

 

Total

34880924

137449.27

39701047

180528.5

36903984

181901.12

Source: As per data reported by Member Lending Institutions on MUDRA Portal

This was stated by Shri Shiv Pratap Shukla, Minister of State for Finance in written reply to a question in Rajya Sabha today.

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