Accounting firms would be providing bookkeeping, payroll, VAT obligations, among other mainstream services. Beyond just reconciliation and filing taxes, ...

A green ledger approach, explored by SAP, enables manufacturing leaders to manage emissions and maintain transparency in ...

The WhiteOak Capital Multi Asset Allocation Fund Direct Growth has an AUM of 2245.19 crores & has delivered CAGR of 0.00% in the last 5 years. The fund has an exit load of 1.00% and an expense ...

Strong portfolio management rules define our Income Method and guide tough decisions with clarity. Read why this foundational ...

The SBI Multi Asset Allocation Fund Direct Plan Growth has an AUM of 8395.03 crores & has delivered CAGR of 16.21% in the last 5 years. The fund has an exit load of 1.00% and an expense ratio of 0 ...

For example, if a marketing team needs an extra $1,000 next quarter for a new video campaign, the multiple cost allocation method makes it easier to shift this funding.

Reprint: R0411J In the classroom, activity-based costing (ABC) looks like a great way to manage a company’s limited resources. But executives who have tried to implement ABC in their ...

Dynamic Asset Allocation or Balanced Advantage : The fund has 67.65% investment in domestic equities of which 38.96% is in Large Cap stocks, 10.12% is in Mid Cap stocks, 5.98% in Small Cap stocks ...

Get risk adjusted return analysis for Samco Dynamic Asset Allocation Fund - IDCW. Understand and compare data with category ratios. Get various ratios like beta, alpha, sharpe ratio, treynor ratio ...

A damning report by UNAIDS reveals that South Africa's failure to adequately invest in sexual and reproductive health and rights for young people is costing the nation a staggering $33. 7 billion, ...

For better reflecting the interactive defense between targets in practical combat scenarios, the basic weapon-target allocation (WTA) framework needs to be improved. A multi-stage attack WTA method is ...

In this paper we address this problem by exploring the use of data-driven methods since they can achieve near-optimal performance with a low computational complexity. Deep reinforcement learning (DRL) ...